public long matchFound(string filePath)
{
Fingerprint fp2 = new Fingerprint();
fp2.AsBitmap = new Bitmap(Bitmap.FromFile(filePath));
Person p2 = new Person();
p2.Fingerprints.Add(fp2);
afis.Extract(p2);
Person ans = afis.Identify(p2, candidates).FirstOrDefault();
bool match = (ans != null);
if (match)
{
DataSet ds = selectClassObj.get_enroll_no_by_id(ans.Id);
if (ds.Tables[0].Rows.Count > 0)
{
return(Convert.ToInt64(ds.Tables[0].Rows[0]["enroll_no"]));
}
else
{
return(0);
}
}
return(0);
}
private void ValidateFingerprint(Bitmap bitmap, List <Person> allPersons)
{
var unknownPerson = new Person();
var fingerprint = new Fingerprint();
fingerprint.AsBitmap = bitmap;
unknownPerson.Fingerprints.Add(fingerprint);
_afis.Extract(unknownPerson);
var matches = _afis.Identify(unknownPerson, allPersons);
var persons = matches as Person[] ?? matches.ToArray();
foreach (var person in persons)
{
var personId = person.Id;
var user = GetUsernames().ToList().ElementAt(personId);
Output.WriteLine(ConsoleColor.DarkGreen, $"Matched with {user}!");
}
if (!persons.Any())
{
Output.WriteLine(ConsoleColor.DarkRed, "No match!");
}
}
}//Enroll
//Match probe with people in the database
public static Match getMatch(string fpPath, string visitorId, Int32 threshold)
{
Match match = new Match();
// Match visitor with unknown identity
MyPerson probe = getProbe(fpPath, visitorId);
if (persons == null)
{
DataAccess dataAccess = new DataAccess();
persons = dataAccess.retrievePersonFingerprintTemplates();
Console.WriteLine("###-->> Loading persons from DB. Total persons = " + persons.Count());
}
else
{
Console.WriteLine("###-->> Loading persons from Cache. Total persons = " + persons.Count());
}
// Look up the probe using Threshold = 10
Afis.Threshold = threshold;
Console.WriteLine("Identifying {0} in database of {1} persons...", probe.Name, persons.Count);
MyPerson matchedPerson = Afis.Identify(probe, persons).FirstOrDefault() as MyPerson;
// Null result means that there is no candidate with similarity score above threshold
if (matchedPerson == null)
{
match.setProbe(probe);
match.setMatchedPerson(matchedPerson);
match.setStatus(false);
match.setScore(0.0F);
return(match);
}
// Compute similarity score
float score = Afis.Verify(probe, matchedPerson);
match.setProbe(probe);
match.setMatchedPerson(matchedPerson);
match.setStatus(true);
match.setScore(score);
Console.WriteLine("Similarity score between {0} and {1} = {2:F3}", probe.Name, matchedPerson.Name, score);
Console.WriteLine("Visitor " + visitorId + " matches with registered person " + matchedPerson.Name + ". Match score = " + score);
return(match);
}//getMatch
void StartCore()
{
tts.Speak("叮咚", QueueMode.Flush, null);
if (isIdentify && System.IO.File.Exists(ImagePath + nowLesson + ".dat")) //指纹识别
// Enroll visitor with unknown identity
//MyPerson probe = Enroll(ImagePath + "t1.BMP", "##Visitor##");
{
tv.Text = "开始识别。。。";
MyPerson probe = Enroll(pics, "##Visitor##");
Console.WriteLine("Identifying {0} in database of {1} persons...", probe.Name, database.Count);
MyPerson match = Afis.Identify(probe, database).FirstOrDefault() as MyPerson;
// Null result means that there is no candidate with similarity score above threshold
if (match == null)
{
Console.WriteLine("No matching person found.");
result.Text = "无匹配指纹！";
tts.Speak("不认识你", QueueMode.Flush, null);
}
else
{
// Print out any non-null result
Console.WriteLine("Probe {0} matches registered person {1}", probe.Name, match.Name);
// Compute similarity score
float score = Afis.Verify(probe, match);
Console.WriteLine("Similarity score between {0} and {1} = {2:F3}", probe.Name, match.Name, score);
tv.Text = "识别完成。。。";
tts.Speak(match.Name, QueueMode.Flush, null);
judgeTime(match.Name);
result.Text = "身份：" + match.Name + "\n匹配分数：" + score;
}
}
else if (xuehao != null) //指纹录入
//database.Add(Enroll(ImagePath + "r1.BMP", xuehao));
{
database.Add(Enroll(pics, xuehao));
xuehao = null;
// Save the database to disk and load it back, just to try out the serialization
Console.WriteLine("Saving database...");
BinaryFormatter formatter = new BinaryFormatter();
using (Stream stream = File.Open(ImagePath + nowLesson + ".dat", FileMode.OpenOrCreate))
formatter.Serialize(stream, database);
isIdentify = true;
tv.Text = "指纹已录入，开始识别。。。";
}
else
{
//Toast.MakeText(Application.Context,"请先录入指纹",ToastLength.Short).Show();
}
}
public async Task <ActionResult> Create([Bind(Include = "logId,mortalId,dateTime_2,areaCode")] log log, FormCollection collection)
{
string fileNameInput = collection["filename"];
AfisEngine Afis = new AfisEngine();
Afis.Threshold = 10;
Fingerprint fp1 = new Fingerprint();
string apppath = System.IO.Path.Combine(Server.MapPath("~"), "images");
string pathToImage = (System.IO.Path.Combine(apppath, fileNameInput));
Bitmap bitmap = fp1.AsBitmap = new Bitmap(Image.FromFile(pathToImage));
MyPerson personsdk = new MyPerson();
personsdk.Fingerprints.Add(fp1);
Afis.Extract(personsdk);
string sql = "Select * from mortal";
List <mortal> personListRom = db.mortals.SqlQuery(sql).ToList();
List <MyPerson> personListRam = new List <MyPerson>();
foreach (mortal p in personListRom)
{
MyPerson personTemp = new MyPerson();
MyFingerprint fpTemp = new MyFingerprint();
personTemp.Id = p.mortalId;
personTemp.Name = p.name;
fpTemp.Filename = p.filename;
fpTemp.AsXmlTemplate = XElement.Parse(p.template);
personTemp.Fingerprints.Add(fpTemp);
personListRam.Add(personTemp);
}
MyPerson match = Afis.Identify(personsdk, personListRam).FirstOrDefault() as MyPerson;
log.mortalId = match.Id;
if (ModelState.IsValid)
{
db.logs.Add(log);
await db.SaveChangesAsync();
return(RedirectToAction("Index"));
}
ViewBag.mortalId = new SelectList(db.mortals, "mortalId", "name", log.mortalId);
return(View(log));
}
public void FingerTest()
{
AfisEngine afis = new AfisEngine();
afis.Threshold = 0.0001f;
Person person1 = new Person(new Fingerprint()
{
AsBitmap = Settings.SomeFingerprint
});
afis.Extract(person1);
Person person2 = new Person(new Fingerprint()
{
AsBitmap = Settings.MatchingFingerprint
});
afis.Extract(person2);
person1.Fingerprints[0].Finger = Finger.RightThumb;
Assert.AreEqual(Finger.RightThumb, person1.Fingerprints[0].Finger);
person2.Fingerprints[0].Finger = Finger.RightThumb;
Assert.That(afis.Verify(person1, person2) > 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() > 0);
person2.Fingerprints[0].Finger = Finger.LeftIndex;
Assert.That(afis.Verify(person1, person2) == 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() == 0);
person1.Fingerprints[0].Finger = Finger.Any;
Assert.That(afis.Verify(person1, person2) > 0);
Assert.That(afis.Verify(person2, person1) > 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() > 0);
Assert.That(afis.Identify(person2, new[] { person1 }).Count() > 0);
person2.Fingerprints[0].Finger = Finger.Any;
Assert.That(afis.Verify(person1, person2) > 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() > 0);
Person person3 = new Person(new Fingerprint()
{
AsBitmap = Settings.MatchingFingerprint
});
afis.Extract(person3);
person1.Fingerprints[0].Finger = Finger.LeftIndex;
person2.Fingerprints[0].Finger = Finger.LeftIndex;
person3.Fingerprints[0].Finger = Finger.RightMiddle;
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person2, person3 }), new[] { person2 });
person1.Fingerprints[0].Finger = Finger.RightMiddle;
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person2, person3 }), new[] { person3 });
Assert.Catch(() => { person1.Fingerprints[0].Finger = (Finger)(-1); });
}
public void Threshold()
{
AfisEngine afis = new AfisEngine();
Person person1 = new Person(new Fingerprint()
{
AsBitmap = Settings.SomeFingerprint
});
afis.Extract(person1);
Person person2 = new Person(new Fingerprint()
{
AsBitmap = Settings.MatchingFingerprint
});
afis.Extract(person2);
float score = afis.Verify(person1, person2);
Assert.That(score > 0);
afis.Threshold = 1.001f * score;
Assert.That(afis.Verify(person1, person2) == 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() == 0);
afis.Threshold = 0.999f * score;
Assert.That(afis.Verify(person1, person2) > 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() > 0);
afis.Threshold = score;
Assert.That(afis.Verify(person1, person2) > 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() > 0);
afis.Threshold = 0;
Assert.That(afis.Verify(person1, person2) > 0);
Assert.That(afis.Identify(person1, new[] { person2 }).Count() > 0);
Assert.Catch(() => { afis.Threshold = -0.001f; });
}
static void Main(string[] args)
{
Afis = new AfisEngine();
List <MyPerson> database = new List <MyPerson>();
List <byte[]> ListOfImages = new List <byte[]>();
string pathString = string.Empty;
byte[] byteArray;
int ideal_value = 0;
pathString = System.IO.Path.Combine(ImagePath, "fingerprint_2_93.tif");
byteArray = System.IO.File.ReadAllBytes(pathString);
database.Add(Enroll(Path.Combine(ImagePath, "fingerprint_2_93.tif"), byteArray));
pathString = System.IO.Path.Combine(ImagePath, "fingerprint_3_83.tif");
byteArray = System.IO.File.ReadAllBytes(pathString);
database.Add(Enroll(Path.Combine(ImagePath, "fingerprint_3_83.tif"), byteArray));
pathString = System.IO.Path.Combine(ImagePath, "probe_2_125.tif");
byteArray = System.IO.File.ReadAllBytes(pathString);
MyPerson probe = Enroll(Path.Combine(ImagePath, "probe_2_125.tif"), byteArray);
Afis.Threshold = 10;
MyPerson match = Afis.Identify(probe, database).FirstOrDefault() as MyPerson;
if (match == null)
{
//return "No matching person found.";
}
float score = Afis.Verify(probe, match);
string matched_user = match.Name;
if (ideal_value <= 0)
{
ideal_value = 60;
}
if (score > ideal_value)
{
Console.WriteLine("Matched user: "******"Score: " + score);
}
else
{
Console.WriteLine("No Matched user");
Console.WriteLine("Score: " + score);
}
Console.ReadLine();
}
public static bool Finger(String candidate_fingerprint, String candidate_name, String probe_fingerprint, String probe_name)
{
// Initialize SourceAFIS
Afis = new AfisEngine();
// Enroll some people
List <MyPerson> database = new List <MyPerson>();
database.Add(Enroll(candidate_fingerprint, candidate_name));
// Save the database to disk and load it back, just to try out the serialization
BinaryFormatter formatter = new BinaryFormatter();
using (Stream stream = File.Open("database.dat", FileMode.Create))
formatter.Serialize(stream, database);
//Reloading Database
using (FileStream stream = File.OpenRead("database.dat"))
database = (List <MyPerson>)formatter.Deserialize(stream);
// Enroll visitor with unknown identity
MyPerson probe = Enroll(probe_fingerprint, probe_name);
// Look up the probe using Threshold = 10
Afis.Threshold = 60;
//TEST CASE
//MessageBox.Show(String.Format("Identifying {0} in database of {1} persons...", probe.Name, database.Count));
MyPerson match = Afis.Identify(probe, database).FirstOrDefault() as MyPerson;
// Null result means that there is no candidate with similarity score above threshold
if (match == null)
{
//TEST CASE
//MessageBox.Show("No matching person found.");
return(false);
}
// Print out any non-null result
//TEST CASE
//MessageBox.Show(String.Format("Probe {0} matches registered person {1}", probe.Name, match.Name));
// Compute similarity score
float score = Afis.Verify(probe, match);
//TEST CASE
//MessageBox.Show(String.Format("Similarity score between {0} and {1} = {2}", probe.Name, match.Name, score));
return(true);
}
private Usuario verificaHuella(Fingerprint fingerPrint)
{
Usuario usuarioVerificado = null;
using (var context = new db_Entidades())
{
UsuarioAFIS usuarioABuscar = new UsuarioAFIS();
usuarioABuscar.Fingerprints.Add(fingerPrint);
//Creamos Objeto AfisEngine el cual realiza la identificación de usuarios
AfisEngine Afis = new AfisEngine();
// Marcamos límite para verificar una huella como encontrada
Afis.Threshold = 50;
Afis.Extract(usuarioABuscar);
//Obtenemos los usuarios registrados en la base de datos
var usuariosBBDD = context.Usuario.ToList();
//Lista de tipo UsuarioAFIS, los cuales rellenamos con plantillas de huellas dactilares e id de usuario de la base de datos
List <UsuarioAFIS> listaUsuariosAFIS = new List <UsuarioAFIS>();
foreach (var usuario in usuariosBBDD)
{
Fingerprint fingerPrintAUX = new Fingerprint();
fingerPrintAUX.AsIsoTemplate = usuario.finger;
UsuarioAFIS usuarioAFIS_AUX = new UsuarioAFIS();
usuarioAFIS_AUX.id = usuario.id;
usuarioAFIS_AUX.Fingerprints.Add(fingerPrintAUX);
listaUsuariosAFIS.Add(usuarioAFIS_AUX);
}
//Realiza la busqueda
UsuarioAFIS usuarioEncontrado = Afis.Identify(usuarioABuscar, listaUsuariosAFIS).FirstOrDefault() as UsuarioAFIS;
if (usuarioEncontrado == null)
{
Console.WriteLine("No se ha encontrado");
//cS.enviaCadena("NO IDENTIFICADO");
usuarioVerificado = null;
}
else
{
//Obtenemos la puntuación de los usuarios identificados
float puntuacion = Afis.Verify(usuarioABuscar, usuarioEncontrado);
usuarioVerificado = usuariosBBDD.Find(x => x.id == usuarioEncontrado.id);
//cS.enviaCadena("IDENTIFICADO");
//cS.enviaCadena(usuarioCompleto.username);
Console.WriteLine("Encontrado con: {0:F3}, Nombre: {1}", puntuacion, usuarioVerificado.username);
}
}
return(usuarioVerificado);
}
private void btn_cmp_Click(object sender, EventArgs e)
{
Fingerprint fp2 = new Fingerprint();
fp2.AsBitmap = new Bitmap(Bitmap.FromFile(pictureBox1.ImageLocation));
Person p2 = new Person();
p2.Fingerprints.Add(fp2);
afis.Extract(p2);
Person ans = afis.Identify(p2, candidates).FirstOrDefault();
bool match = (ans != null);
if (match)
{
DataSet ds = selectClassObj.get_enroll_no_by_id(ans.Id);
if (ds.Tables[0].Rows.Count > 0)
{
count++;
List <Fingerprint> li = ans.Fingerprints;
foreach (Fingerprint f in li)
{
Bitmap bitmp = new Bitmap(f.AsBitmap);
pictureBox2.Image = bitmp;
pictureBox2.SizeMode = PictureBoxSizeMode.Zoom;
pictureBox2.Refresh();
}
lbl_result.Text = "Matched";
lbl_result.ForeColor = Color.Green;
lbl_result.Text += " " + ds.Tables[0].Rows[0]["enroll_no"];
}
else
{
pictureBox2.Image = null;
lbl_result.Text = "Not Matched";
lbl_result.ForeColor = Color.Red;
}
}
else
{
pictureBox2.Image = null;
lbl_result.Text = "Not Matched";
lbl_result.ForeColor = Color.Red;
}
MessageBox.Show("\nCount: " + count);
}
//Ok 12-400
/// <summary>
/// wie is het
/// </summary>
/// <param name="_inObject"></param>
/// <returns></returns>
public static string wieIsDit(object _inObject)
{
try {
string wertkWel = JsonConvert.SerializeObject(_inObject);
TypeAskID IDRequest = JsonConvert.DeserializeObject <TypeAskID>(wertkWel);
SqlCommand command = new SqlCommand();
command.CommandText = "SELECT id,fingerprintTemplate FROM " + settings.studentBDTableName;
DataTable queryResult = SqlAndWeb.SQLQuery(settings.connectionString, command);
List <Person> personList = new List <Person>();
foreach (DataRow row in queryResult.Rows)
{
Person person = new Person();
Fingerprint fingerprint = new Fingerprint();
person.Id = (int)row["id"];
string base64FingerTemplate = (string)row["fingerprintTemplate"];
fingerprint.Template = Convert.FromBase64String(base64FingerTemplate);
person.Fingerprints.Add(fingerprint);
personList.Add(person);
}
Person unknowPerson = new Person();
Fingerprint unknowFingerprint = new Fingerprint();
unknowFingerprint.Template = Convert.FromBase64String(IDRequest.base64FingerprintTemplate);
unknowPerson.Fingerprints.Add(unknowFingerprint);
Person wieHetIs = afis.Identify(unknowPerson, personList).FirstOrDefault();
if (wieHetIs != null)
{
SqlCommand comond = new SqlCommand();
comond.CommandText = "select ID,voorNaam,achterNaam,profileImage from " + settings.studentBDTableName + " where ID=" + wieHetIs.Id;
DataTable queryResponse = SqlAndWeb.SQLQuery(settings.connectionString, comond);
DataRow theRow = queryResponse.Rows[0];
TypeReturnID returnType = new TypeReturnID();
returnType.ID = (int)theRow["id"];
returnType.voorNaam = (string)theRow["voorNaam"];
returnType.achterNaam = (string)theRow["achterNaam"];
returnType.base64ProfileImage = (string)theRow["profileImage"];
return(JsonConvert.SerializeObject(returnType));
}
else
{
return(JsonConvert.SerializeObject(new TypeReturnID()));
}
} catch (Exception ex) {
TypeReturnError typeForError = new TypeReturnError();
typeForError.why = "(wieIsDit)" + ex.Message;
return(JsonConvert.SerializeObject(typeForError));
}
}
static void Main(string[] args)
{
// Initialize SourceAFIS
Afis = new AfisEngine();
// Enroll some people
List <MyPerson> database = new List <MyPerson>();
database.Add(Enroll(Path.Combine(ImagePath, "candidate1.tif"), "Fred Flintstone"));
database.Add(Enroll(Path.Combine(ImagePath, "candidate2.tif"), "Wilma Flintstone"));
database.Add(Enroll(Path.Combine(ImagePath, "candidate3.tif"), "Barney Rubble"));
// Save the database to disk and load it back, just to try out the serialization
BinaryFormatter formatter = new BinaryFormatter();
Console.WriteLine("Saving database...");
using (Stream stream = File.Open("database.dat", FileMode.Create))
formatter.Serialize(stream, database);
Console.WriteLine("Reloading database...");
using (FileStream stream = File.OpenRead("database.dat"))
database = (List <MyPerson>)formatter.Deserialize(stream);
// Enroll visitor with unknown identity
MyPerson probe = Enroll(Path.Combine(ImagePath, "probe.tif"), "Visitor #12345");
// Look up the probe using Threshold = 10
Afis.Threshold = 10;
Console.WriteLine("Identifying {0} in database of {1} persons...", probe.Name, database.Count);
MyPerson match = Afis.Identify(probe, database).FirstOrDefault() as MyPerson;
// Null result means that there is no candidate with similarity score above threshold
if (match == null)
{
Console.WriteLine("No matching person found.");
Console.ReadKey();
return;
}
// Print out any non-null result
Console.WriteLine("Probe {0} matches registered person {1}", probe.Name, match.Name);
// Compute similarity score
float score = Afis.Verify(probe, match);
Console.WriteLine("Similarity score between {0} and {1} = {2:F3}", probe.Name, match.Name, score);
Console.ReadKey();
}
public static void Finger()
{
// Initialize SourceAFIS
Afis = new AfisEngine();
// Enroll some people
List <MyPerson> database = new List <MyPerson>();
database.Add(Enroll(Path.Combine(ImagePath, "candidate1.tif"), "Ankit Balyan"));
database.Add(Enroll(Path.Combine(ImagePath, "candidate2.tif"), "Gurleen Singh"));
database.Add(Enroll(Path.Combine(ImagePath, "candidate3.tif"), "Kunal Kholia"));
// Save the database to disk and load it back, just to try out the serialization
BinaryFormatter formatter = new BinaryFormatter();
using (Stream stream = File.Open("database.dat", FileMode.Create))
formatter.Serialize(stream, database);
//Reloading Database
using (FileStream stream = File.OpenRead("database.dat"))
database = (List <MyPerson>)formatter.Deserialize(stream);
// Enroll visitor with unknown identity
MyPerson probe = Enroll(Path.Combine(ImagePath, "probe.tif"), "Visitor #12345");
// Look up the probe using Threshold = 10
Afis.Threshold = 60;
MessageBox.Show(String.Format("Identifying {0} in database of {1} persons...", probe.Name, database.Count));
MyPerson match = Afis.Identify(probe, database).FirstOrDefault() as MyPerson;
// Null result means that there is no candidate with similarity score above threshold
if (match == null)
{
MessageBox.Show("No matching person found.");
return;
}
// Print out any non-null result
MessageBox.Show(String.Format("Probe {0} matches registered person {1}", probe.Name, match.Name));
// Compute similarity score
float score = Afis.Verify(probe, match);
MessageBox.Show(String.Format("Similarity score between {0} and {1} = {2:F3}", probe.Name, probe.Name, score));
}
private void btnProvjeraPrsta_Click(object sender, EventArgs e)
{
List <Otisak_prsta> listaOtisaka = new List <Otisak_prsta>();
listaOtisaka = Otisak_prsta.DohvatiOtiske();
foreach (var item in listaOtisaka)
{
Fingerprint fp = new Fingerprint();
fp.AsBitmap = new Bitmap(Bitmap.FromFile(Application.StartupPath + item.Otisak_putanja));
Person osoba = new Person();
osoba.Id = item.FK_korisnik;
osoba.Fingerprints.Add(fp);
Afis.Extract(osoba);
ListaOsobaIzBaze.Add(osoba);
}
Afis.Threshold = 40;
Person matchingCandidate = Afis.Identify(NepoznataOsoba, ListaOsobaIzBaze).FirstOrDefault();
if (matchingCandidate == null)
{
MessageBox.Show("Nije pronadena osoba s navedenim otiskom prsta!");
}
else
{
Korisnik trazeniKorisnik = new Korisnik();
trazeniKorisnik = Korisnik.DohvatiKorisnika(matchingCandidate.Id);
float score = Afis.Verify(NepoznataOsoba, matchingCandidate);
bool match = (score > 0);
MessageBox.Show("Pronađen je korisnik: " + trazeniKorisnik.Korisnicko_ime + " s koeficijentom podudranja: " + score.ToString());
if (trazeniKorisnik.Korisnicko_ime == textBoxKorIme.Text)
{
zastavicaPrst = true;
lblOsobaFinger.Text = trazeniKorisnik.Korisnicko_ime;
lblOsobaFinger.ForeColor = System.Drawing.Color.Green;
lblFingerTocnost.Text = score.ToString();
lblFingerTocnost.ForeColor = System.Drawing.Color.Green;
}
}
ProvjeraPrijave();
}
static void Identify(string data)
{
data = data.Trim();
string fingerImage = null;
if (data.Contains('='))
{
fingerImage = data.Substring(data.IndexOf('=') + 1).Trim();
}
else
{
fingerImage = data;
}
//incoming finger
Fingerprint fp = new Fingerprint();
fp.AsBitmap = new Bitmap(Bitmap.FromFile(fingerImage));
Person person = new Person();
person.Fingerprints.Add(fp);
Afis.Extract(person);
var testing = fp.Template;
var testing2 = person.Fingerprints[0].Template;
var th = Afis.Threshold;
//all candidates
var allPersons = db.GetPersons();
IdpPerson match = (Afis.Identify(person, allPersons).FirstOrDefault() as IdpPerson);
if (match != null)
{
Console.WriteLine("SourceAFISHelper.exe/identify/success:" + match.ID);
}
else
{
Console.WriteLine("SourceAFISHelper.exe/identify/failure:Could not retrieve record from the database");
}
}
public async Task <ActionResult> Verify([Bind(Include = "Filename")] mortal mortal)
{
if (ModelState.IsValid & mortal.filename != null)
{
AfisEngine Afis = new AfisEngine();
Afis.Threshold = 10;
Fingerprint fp1 = new Fingerprint();
string apppath = System.IO.Path.Combine(Server.MapPath("~"), "images");
string pathToImage = (System.IO.Path.Combine(apppath, mortal.filename));
Bitmap bitmap = fp1.AsBitmap = new Bitmap(Image.FromFile(pathToImage));
MyPerson personsdk = new MyPerson();
personsdk.Fingerprints.Add(fp1);
Afis.Extract(personsdk);
string sql = "Select * from mortal";
List <mortal> personListRom = db.mortals.SqlQuery(sql).ToList();
List <MyPerson> personListRam = new List <MyPerson>();
foreach (mortal p in personListRom)
{
MyPerson personTemp = new MyPerson();
MyFingerprint fpTemp = new MyFingerprint();
personTemp.Id = p.mortalId;
personTemp.Name = p.name;
fpTemp.Filename = p.filename;
fpTemp.AsXmlTemplate = XElement.Parse(p.template);
personTemp.Fingerprints.Add(fpTemp);
personListRam.Add(personTemp);
}
MyPerson match = Afis.Identify(personsdk, personListRam).FirstOrDefault() as MyPerson;
Response.Write("<script>alert('" + match.Name + "');</script>");
return(View());
}
Response.Write("<script>alert('Please Enter Filename');</script>");
return(View());
}
protected void btnSubmit_Click(object sender, EventArgs e)
{
byte[] imageBytes = Convert.FromBase64String(img_val.Value);
fp.AsBitmap = CreateBmpImage(imageBytes);
probe.Fingerprints.Add(fp);
afis.Extract(probe);
Person matchingCandidate = afis.Identify(probe, users).FirstOrDefault() as Person;
bool match = (matchingCandidate != null);
if (match == true)
{
float score = afis.Verify(probe, matchingCandidate);
//Response.Write("<br><br>Score=" + score.ToString() + "<br><br>ID=" + matchingCandidate.Id.ToString());
CheckAccountStatus(matchingCandidate.Id);
}
else
{
Response.Write("No user Found");
}
}
public MemberFingerprint BatchIdentify(MatchRequest toMatch)
{
_toMatch = new MemberPerson();
Fingerprint f = new Fingerprint();
f.AsIsoTemplate = toMatch.Fingerprint;
//_toMatch.Member = toMatch;
Afis.Threshold = 10;
//Console.WriteLine("Identifying {0} in database of {1} persons...", probe.Name, database.Count);
var match = Afis.Identify(_toMatch, _persons).FirstOrDefault() as MemberPerson;
// Null result means that there is no candidate with similarity score above threshold
if (match == null)
{
//Console.WriteLine("No matching person found.");
return(match.Member);
}
return(null);
}
private void btnComparar_Click(object sender, EventArgs e)
{
Fingerprint fpBase = new Fingerprint();
Person pessoaBase = new Person();
List <Person> candidatos = new List <Person>();
string diretorio;
openFile.ShowDialog();
openFile.Filter = "Image Files(*.JPG;*.PNG)|*.JPG;*.PNG";
openFile.CheckFileExists = true;
openFile.CheckPathExists = true;
openFile.OpenFile();
diretorio = openFile.FileName;
fpBase.AsBitmap = new Bitmap(Bitmap.FromFile(diretorio));
pessoaBase.Fingerprints.Add(fpBase);
for (i = 0; i < 4; i++)
{
fpBd[i] = new Fingerprint();
fpBd[i].AsBitmap = new Bitmap(Bitmap.FromFile(diretorio));
}
for (i = 0; i < 4; i++)
{
pessoaBd[i] = new Person();
pessoaBd[i].Fingerprints.Add(fpBd[i]);
candidatos.Add(pessoaBd[i]);
Afis.Extract(pessoaBd[i]);
}
var pessoasMatchs = Afis.Identify(pessoaBase, candidatos).ToList();
var textoMatchs = pessoasMatchs.Select(p => p.Id);
foreach (var texto in textoMatchs)
{
MessageBox.Show(texto.ToString());
}
}
public static Usuario CompararDigital(string nome, string digital, List <string> comparar)
{
var Afis = new AfisEngine();
Fingerprint Digital_Usuario = new Fingerprint();
Digital_Usuario.AsBitmap = CriaImagem(digital);
Person Usuario = new Person();
Usuario.Fingerprints.Add(Digital_Usuario);
Afis.Extract(Usuario);
List <Person> Comparadores = new List <Person>();
foreach (var item in comparar)
{
Fingerprint Digital = new Fingerprint();
Digital.AsBitmap = CriaImagem(digital);
Person Comparador = new Person();
Comparador.Fingerprints.Add(Digital);
Afis.Extract(Comparador);
Comparadores.Add(Comparador);
}
Person Match = Afis.Identify(Usuario, Comparadores).FirstOrDefault();
if (Match != null)
{
var _repo = new Usuario_Service();
return(_repo.CarregarUsuario(nome));
}
else
{
return(null);
}
}
//public object Get(Files request)
//{
// var targetFile = GetAndValidateExistingPath(request);
// var isDirectory = Directory.Exists(targetFile.FullName);
// if (!isDirectory && request.ForDownload)
// return new HttpResult(targetFile, asAttachment: true);
// var response = isDirectory
// ? new FilesResponse { Directory = GetFolderResult(targetFile.FullName) }
// : new FilesResponse { File = GetFileResult(targetFile) };
// return response;
//}
// [AddHeader(ContentType = "text/json")]
public object Post(Files request)
{
//var container = ServiceStackHost.Instance.Container;
// var response = new MyPerson { };
var response = "";
var message = "";
var uuid = "";
var token = "";
var targetDir = GetPath(request);
var isExistingFile = targetDir.Exists &&
(targetDir.Attributes & FileAttributes.Directory) != FileAttributes.Directory;
if (isExistingFile)
{
throw new NotSupportedException(
"POST only supports uploading new files. Use PUT to replace contents of an existing file");
}
if (!Directory.Exists(targetDir.FullName))
{
Directory.CreateDirectory(targetDir.FullName);
}
if (base.Request.Files.Length == 0)
{
// message = "No files uploaded.";
}
foreach (var key in base.Request.FormData.AllKeys)
{
foreach (var val in base.Request.FormData.GetValues(key))
{
if (key == "uuid")
{
uuid = val;
Console.WriteLine(string.Format("{0}: {1}", key, val) + " uuid set to: " + uuid);
}
else if (key == "key")
{
token = val;
Console.WriteLine(string.Format("{0}: {1}", key, val) + " token set to: " + token);
}
}
}
Response jsonResponse = new Response();
if (token == "noel.honeybee.galvanic")
{
foreach (var uploadedFile in base.Request.Files)
{
var newFilePath = Path.Combine(targetDir.FullName, uploadedFile.FileName) + ".png";
// if (uploadedFile.StartsWith("verify") {
// }
uploadedFile.SaveTo(newFilePath);
// Enroll visitor with unknown identity
Guid g;
// Create and display the value of two GUIDs.
g = Guid.NewGuid();
DateTime date1 = DateTime.Now;
Console.WriteLine("Starting Enroll: " + date1);
MyPerson probe = SourceAfisIdentify.Enroll(newFilePath, g.ToString(), Afis);
// Look up the probe using Threshold = 10
Afis.Threshold = 10;
DateTime date2 = DateTime.Now;
var list = FingerprintDatabase.people;
//Console.WriteLine("Identifying {0} in Database of {1} persons...", probe.Name, list.Count + " at " + date2);
Console.WriteLine("{0} : Identifying {1} in Database of {2} persons...", date2, probe.Name, list.Count);
MyPerson match = Afis.Identify(probe, list).FirstOrDefault() as MyPerson;
DateTime date3 = DateTime.Now;
var diffInSeconds = (date3 - date2).TotalSeconds;
Console.WriteLine("Enroll time: " + diffInSeconds + " seconds");
diffInSeconds = (date2 - date1).TotalSeconds;
Console.WriteLine("Total enroll + match time: " + diffInSeconds + " seconds");
// Null result means that there is no candidate with similarity score above threshold
if (match == null)
{
message = "NoMatch";
jsonResponse.StatusCode = 4;
jsonResponse.Error = message;
jsonResponse.UID = g.ToString();
Console.WriteLine(message);
//Database.Add (probe);
FingerprintDatabase.AddData(probe);
String url = "http://localhost:5984/prints/" + g.ToString();
// String data = "{_id: " + "\"" + g.ToString () + "\"" + ", fileName:" + "\"" + uploadedFile.FileName + "\"" + "}";
var person = new MyPerson();
// person.Filename = uploadedFile.FileName;
person.Uuid = g.ToString();
List <Fingerprint> probleFingerprints = probe.Fingerprints;
List <SimpleFingerprint> fingerprints = new List <SimpleFingerprint>();
foreach (var print in probleFingerprints)
{
byte[] template = print.Template;
// Convert the binary input into Base64 UUEncoded output.
string base64String = null;
try
{
base64String = System.Convert.ToBase64String(template, 0, template.Length);
}
catch (System.ArgumentNullException)
{
System.Console.WriteLine("Binary data array is null.");
}
SimpleFingerprint fprint = new SimpleFingerprint();
fprint.Base64Template = base64String;
fprint.Filename = uploadedFile.FileName;
DateTime dateUploaded = DateTime.Now;
string isoJson = JsonConvert.SerializeObject(dateUploaded, Formatting.None, new IsoDateTimeConverter()
{
DateTimeFormat = "yyyy-MM-dd hh:mm:ss"
});
fprint.DateUploaded = isoJson;
//fingerprints.Add (fprint);
person.simpleFingerprint = fprint;
}
person.SimpleFingerprints = fingerprints;
var json = NServiceKit.Text.JsonSerializer.SerializeToString(person);
Console.WriteLine(json);
WebClient client = new WebClient();
try
{
client.UploadString(url, "PUT", json);
}
catch (Exception ex)
{
Console.WriteLine(ex);
}
string jsonString = JsonConvert.SerializeObject(jsonResponse);
response = jsonString;
}
else
{
// Print out any non-null result
Console.WriteLine("Probe {0} matches registered person {1}", probe.Uuid, match.Uuid);
// Compute similarity score
DateTime date4 = DateTime.Now;
float score = Afis.Verify(probe, match);
Console.WriteLine("Similarity score between {0} and {1} = {2:F3}", probe.Uuid, match.Uuid, score);
DateTime date5 = DateTime.Now;
diffInSeconds = (date5 - date4).TotalSeconds;
Console.WriteLine("Verify time: " + diffInSeconds + " seconds");
message = "Match: " + probe.Name + " matches " + match.Name + " Score: " + score;
jsonResponse.StatusCode = 1;
jsonResponse.Error = null;
jsonResponse.UID = match.Uuid;
jsonResponse.Threshold = score;
string jsonString = JsonConvert.SerializeObject(jsonResponse);
response = jsonString;
}
}
}
else
{
jsonResponse.Error = "Auth error.";
string jsonString = JsonConvert.SerializeObject(jsonResponse);
response = jsonString;
}
return(response);
}
public tbFingerprint Identify(tbFingerprint probe)
{
Afis.Extract(probe);
return(Afis.Identify(probe, database).FirstOrDefault() as tbFingerprint);
}
public void SkipBestMatches()
{
AfisEngine afis = new AfisEngine();
Fingerprint[] fps = new[] {
new Fingerprint()
{
AsBitmap = Settings.SomeFingerprint
},
new Fingerprint()
{
AsBitmap = Settings.MatchingFingerprint
},
new Fingerprint()
{
AsBitmap = Settings.NonMatchingFingerprint
}
};
foreach (Fingerprint fp in fps)
{
afis.Extract(new Person(fp));
}
Person person1 = new Person(fps[0]);
Person person2 = new Person(fps[1], fps[2]);
Person person3 = new Person(fps[2], fps[1]);
Person person4 = new Person(fps[1]);
Person person5 = new Person(fps[1], fps[2], fps[1]);
Person person6 = new Person(fps[2], fps[1], fps[2]);
Person person7 = new Person(fps[1], fps[1], fps[1]);
Person person8 = new Person(fps[2], fps[2]);
foreach (Person person in new[] { person2, person3, person4, person5, person6, person7 })
{
Assert.That(afis.Verify(person1, person) > 0);
}
Assert.That(afis.Verify(person1, person8) == 0);
foreach (Person person in new[] { person2, person3, person4, person5, person6, person7 })
{
Assert.That(afis.Identify(person1, new[] { person }).Count() > 0);
}
Assert.That(afis.Identify(person1, new[] { person8 }).Count() == 0);
afis.MinMatches = 2;
foreach (Person person in new[] { person2, person3, person6, person8 })
{
Assert.That(afis.Verify(person1, person) == 0);
}
foreach (Person person in new[] { person4, person5, person7 })
{
Assert.That(afis.Verify(person1, person) > 0);
}
Assert.That(afis.Identify(person1, new[] { person2, person3, person6, person8 }).Count() == 0);
foreach (Person person in new[] { person4, person5, person7 })
{
Assert.That(afis.Identify(person1, new[] { person }).Count() > 0);
}
afis.MinMatches = 3;
foreach (Person person in new[] { person2, person3, person5, person6, person8 })
{
Assert.That(afis.Verify(person1, person) == 0);
}
Assert.That(afis.Verify(person1, person4) > 0);
Assert.That(afis.Verify(person1, person7) > 0);
Assert.That(afis.Identify(person1, new[] { person2, person3, person5, person6, person8 }).Count() == 0);
Assert.That(afis.Identify(person1, new[] { person4 }).Count() > 0);
Assert.That(afis.Identify(person1, new[] { person7 }).Count() > 0);
afis.MinMatches = 4;
foreach (Person person in new[] { person2, person3, person5, person6, person8 })
{
Assert.That(afis.Verify(person1, person) == 0);
}
Assert.That(afis.Verify(person1, person4) > 0);
Assert.That(afis.Verify(person1, person7) > 0);
Assert.That(afis.Identify(person1, new[] { person2, person3, person5, person6, person8 }).Count() == 0);
Assert.That(afis.Identify(person1, new[] { person4 }).Count() > 0);
Assert.That(afis.Identify(person1, new[] { person7 }).Count() > 0);
Person person9 = new Person(fps[0], fps[0]);
Person person10 = new Person(fps[1], fps[1], fps[2]);
afis.MinMatches = 1;
Assert.That(afis.Verify(person9, person10) > 0);
afis.MinMatches = 2;
Assert.That(afis.Verify(person9, person10) > 0);
afis.MinMatches = 3;
Assert.That(afis.Verify(person9, person10) > 0);
afis.MinMatches = 4;
Assert.That(afis.Verify(person9, person10) > 0);
afis.MinMatches = 5;
Assert.That(afis.Verify(person9, person10) == 0);
afis.MinMatches = 6;
Assert.That(afis.Verify(person9, person10) == 0);
afis.MinMatches = 7;
Assert.That(afis.Verify(person9, person10) == 0);
}
public void Identify()
{
AfisEngine afis = new AfisEngine();
Person person1 = new Person(new Fingerprint()
{
AsBitmap = Settings.SomeFingerprint
});
afis.Extract(person1);
Person person2 = new Person(new Fingerprint()
{
AsBitmap = Settings.MatchingFingerprint
});
afis.Extract(person2);
Person person3 = new Person(new Fingerprint()
{
AsBitmap = Settings.NonMatchingFingerprint
});
afis.Extract(person3);
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person2, person3 }), new[] { person2 });
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person3, person2 }), new[] { person2 });
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person3 }), new Person[0]);
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person2, person3, person1 }), new[] { person1, person2 });
Person person4 = new Person(person2.Fingerprints[0], person3.Fingerprints[0]);
CollectionAssert.AreEqual(afis.Identify(person1, new[] { person4 }), new[] { person4 });
var bigArray = Enumerable.Repeat(person3, 100).Concat(new[] { person2 }).Concat(Enumerable.Repeat(person3, 100));
CollectionAssert.AreEqual(afis.Identify(person1, bigArray), new[] { person2 });
CollectionAssert.AreEqual(afis.Identify(person1, new Person[] { }), new Person[0]);
CollectionAssert.AreEqual(afis.Identify(person1, new[] { new Person() }), new Person[0]);
CollectionAssert.AreEqual(afis.Identify(new Person(), new[] { person2, person3 }), new Person[0]);
Assert.Catch(() => { afis.Identify(null, new[] { person2, person3 }); });
Assert.Catch(() => { afis.Identify(new Person(null), new[] { person2, person3 }); });
Assert.Catch(() => { afis.Identify(person1, null); });
Assert.Catch(() => { afis.Identify(person1, new[] { person2, null }); });
Assert.Catch(() => { afis.Identify(person1, new[] { person2, new Person(null) }); });
}
private void btnAutenticar_Click(object sender, EventArgs e)
{
List <Person> candidatos = new List <Person>();
string diretorio;
try
{
SqlCommand cmd = new SqlCommand();
Conexao con = new Conexao();
cmd.Connection = con.Conectar();
cmd.CommandText = "SELECT * FROM Usuario";
SqlDataReader rd = cmd.ExecuteReader();
ImageConverter converter = new ImageConverter();
if (rd.HasRows)
{
while (rd.Read())
{
if (Convert.ToInt32(rd["ID_Usuario"]) != 1)
{
Bitmap bmp;
var img = (byte[])rd["Biometria"];
using (var ms = new MemoryStream(img))
bmp = new Bitmap(ms);
pessoasBd.Add(new Person
{
Id = Convert.ToInt32(rd["ID_Usuario"]),
Fingerprints = new List <Fingerprint> {
new Fingerprint {
AsBitmap = bmp
}
}
});
}
}
}
afis.Extract(pessoaBase);
foreach (var p in pessoasBd)
{
afis.Extract(p);
}
var matches = afis.Identify(pessoaBase, pessoasBd);
if (matches.Any(x => x.Id == pessoaBase.Id))
{
TelaInicio telaInicio = new TelaInicio();
telaInicio.Show();
this.Hide();
}
else
{
MessageBox.Show("Acesso não autorizado, tente novamente!");
}
con.desconectar();
}
catch (SqlException ex)
{
MessageBox.Show("Erro");
}
}
public async Task <ActionResult> BulkCreate([Bind(Include = "")] mortal mortal /*, HttpPostedFileBase file*/)
{
AfisEngine Afis = new AfisEngine();
Afis.Threshold = 60;
//List<MyPerson> personsdks = new List<MyPerson>();
string AppPath = System.IO.Path.Combine(Server.MapPath("~"), "images");
Stopwatch stopwatch0 = Stopwatch.StartNew(); //creates and start the instance of Stopwatch
long range = Int64.Parse(mortal.nic);
for (int i = 0; i < range; i++)
{
int imgnumber = i + 1;
string imgval = "(" + imgnumber.ToString() + ").jpg";
string pathtoimages = (System.IO.Path.Combine(AppPath, imgval));
Fingerprint fp0 = new Fingerprint();
MyPerson myperson = new MyPerson();
Bitmap bitmap0 = fp0.AsBitmap = new Bitmap(Image.FromFile(pathtoimages));
myperson.Fingerprints.Add(fp0);
Afis.Extract(myperson);
string str_Template = fp0.AsXmlTemplate.ToString();
mortal.template = str_Template;
mortal.name = (i + 1).ToString();
mortal.filename = pathtoimages;
mortal.nic = (i + 1).ToString();
//Code to count number of Minutae
string pattern = "<Minutia";
int count = 0;
int a = 0;
while ((a = str_Template.IndexOf(pattern, a)) != -1)
{
a += pattern.Length;
count++;
}
mortal.no_of_minutaes = count;
db.mortals.Add(mortal);
//db.Entry(person).State = EntityState.Modified;
await db.SaveChangesAsync();
}
stopwatch0.Stop();
Stopwatch stopwatch1 = Stopwatch.StartNew(); //creates and start the instance of Stopwatch
//Verification segment
string sql = "Select * from mortal";
List <mortal> personListRom = db.mortals.SqlQuery(sql).ToList();
List <MyPerson> personListRam = new List <MyPerson>();
foreach (mortal p in personListRom)
{
MyPerson personTemp = new MyPerson();
MyFingerprint fpTemp = new MyFingerprint();
personTemp.Id = p.mortalId;
personTemp.Name = p.name;
fpTemp.Filename = p.filename;
fpTemp.AsXmlTemplate = XElement.Parse(p.template);
personTemp.Fingerprints.Add(fpTemp);
personListRam.Add(personTemp);
}
stopwatch1.Stop();
//verify at 1 index
Stopwatch stopwatch2 = Stopwatch.StartNew(); //creates and start the instance of Stopwatch
Fingerprint fp1 = new Fingerprint();
string apppath = System.IO.Path.Combine(Server.MapPath("~"), "images");
string pathToImage = (System.IO.Path.Combine(apppath, "(1).jpg"));
Bitmap bitmap = fp1.AsBitmap = new Bitmap(Image.FromFile(pathToImage));
MyPerson personsdk = new MyPerson();
personsdk.Fingerprints.Add(fp1);
Afis.Extract(personsdk);
MyPerson match = Afis.Identify(personsdk, personListRam).FirstOrDefault() as MyPerson;
stopwatch2.Stop();
//verify at mid index
Stopwatch stopwatch3 = Stopwatch.StartNew(); //creates and start the instance of Stopwatch
Fingerprint fp2 = new Fingerprint();
string apppath2 = System.IO.Path.Combine(Server.MapPath("~"), "images");
string pathToImage2 = (System.IO.Path.Combine(apppath, "(" + (range / 2).ToString() + ").jpg"));
Bitmap bitmap2 = fp2.AsBitmap = new Bitmap(Image.FromFile(pathToImage2));
MyPerson personsdk2 = new MyPerson();
personsdk2.Fingerprints.Add(fp2);
Afis.Extract(personsdk2);
MyPerson match2 = Afis.Identify(personsdk2, personListRam).FirstOrDefault() as MyPerson;
stopwatch3.Stop();
Stopwatch stopwatch4 = Stopwatch.StartNew(); //creates and start the instance of Stopwatch
Fingerprint fp3 = new Fingerprint();
Random rand = new Random();
int num = rand.Next(3);
string apppath3 = System.IO.Path.Combine(Server.MapPath("~"), "images");
string pathToImage3 = (System.IO.Path.Combine(apppath, "(" + num.ToString() + ").jpg"));
Bitmap bitmap3 = fp3.AsBitmap = new Bitmap(Image.FromFile(pathToImage3));
MyPerson personsdk3 = new MyPerson();
personsdk3.Fingerprints.Add(fp3);
Afis.Extract(personsdk3);
MyPerson match3 = Afis.Identify(personsdk3, personListRam).FirstOrDefault() as MyPerson;
stopwatch4.Stop();
string stopwatchtime0 = stopwatch0.ElapsedMilliseconds.ToString();
string stopwatchtime1 = stopwatch1.ElapsedMilliseconds.ToString();
string stopwatchtime2 = stopwatch2.ElapsedMilliseconds.ToString();
string stopwatchtime3 = stopwatch3.ElapsedMilliseconds.ToString();
string stopwatchtime4 = stopwatch4.ElapsedMilliseconds.ToString();
Response.Write("<script>alert('Enrollment time in database is:" + stopwatchtime0 + "');</script>");
Response.Write("<script>alert('Enrollment time in ram is:" + stopwatchtime1 + "');</script>");
Response.Write("<script>alert('Verification time for index 1:" + stopwatchtime2 + "');</script>");
Response.Write("<script>alert('Verification time for index mid:" + stopwatchtime3 + "');</script>");
Response.Write("<script>alert('Verification time for index last:" + stopwatchtime4 + "');</script>");
return(View(mortal));
}