private static void OneFingerTest(string fileName1, string fileName2)
{
var img1 = ImageHelper.LoadImage(Constants.PathToDb + fileName1);
var img2 = ImageHelper.LoadImage(Constants.PathToDb + fileName2);
double identity1 = Matcher.GetIdentity( fileName2, fileName1);
var map = QualityHelper.GetQualityMap(Constants.PathToDb + fileName1);
double awerageQuality = QualityHelper.GetAverageQualityNfiq(map);
double badBlocks = QualityHelper.GetLowQualityBlocksNfiq(map);
double darkness = QualityHelper.GetDarkness(img1);
double background = QualityHelper.GetBackgroundPercentage(img1);
InputVector input = new InputVector();
input.AverageQuality = awerageQuality;
input.Background = background;
input.BadBlocks = badBlocks;
input.Darkness = darkness;
input.Identity = identity1;
DecisionMaker m = new DecisionMaker();
m.GetAnswerForFinger(input,0.5);
}
public static long FuzzyDifTest(int step, double thresholdStep, double startThreshold, double endThreshold)
{
Stopwatch w = Stopwatch.StartNew();
string strFirst = String.Format("Threshold NumFull NumYes NumNo NumIdk\n");
File.AppendAllText(Constants.resultsPath + "FuzzyDifTest.txt", strFirst);
DecisionMaker decisionMaker = new DecisionMaker();
QualityHelper qhelper = new QualityHelper();
DbHelper dbHelper = new DbHelper();
Dictionary<int, List<Tuple<string, string, string>>> fpForMatchDictionary = new Dictionary<int, List<Tuple<string, string, string>>>();
Dictionary<int, int> BestFp = new Dictionary<int, int>();
for (int j = 1; j < 101; j += step)
{
var newFpForMatch = dbHelper.GetTestingFingerprintDiff(j);
fpForMatchDictionary.Add(j, newFpForMatch);
int bestFp = DbHelper.GetBestFingerprint(j);
BestFp.Add(j, bestFp);
}
for (double threshold = startThreshold; threshold < endThreshold + 0.001; threshold += thresholdStep)
{
int numYes = 0;
int numNo = 0;
int numIdk = 0;
int numAll = 0;
for (int j = 1; j < 101; j += step)
{
int bestFp = BestFp[j];
var fpForMatch = fpForMatchDictionary[j];
string fileNameEt = j.ToString() + "_" + bestFp.ToString() + ".tif";
foreach (var item in fpForMatch)
{
var input = InputHelper.GetMultyFuzzyInput(item.Item1, item.Item2, item.Item3, fileNameEt, qhelper);
var answer = decisionMaker.GetAnswer(input, threshold);
switch (answer.ValueName)
{
case "yes":
numYes++;
break;
case "no":
numNo++;
break;
case "idk":
numIdk++;
break;
default:
break;
}
numAll++;
}
}
string str = String.Format("{0} {1} {2} {3} {4}\n", threshold, numAll, numYes, numNo, numIdk);
File.AppendAllText(Constants.resultsPath + "FuzzyDifTest.txt", str);
}
w.Stop();
return w.ElapsedMilliseconds;
}
public static long MonomodalDifTest(int step, double thresholdStep, double startThreshold, double endThreshold)
{
Stopwatch w = Stopwatch.StartNew();
string strFirst = String.Format("Threshold NumFull NumYes NumNo NumIdk\n");
File.AppendAllText(Constants.resultsPath + "MonomodalSameTest.txt", strFirst);
DecisionMaker decisionMaker = new DecisionMaker();
QualityHelper qhelper = new QualityHelper();
DbHelper dbHelper = new DbHelper();
Dictionary<int, List<Tuple<string, string, string>>> fpForMatchDictionary = new Dictionary<int, List<Tuple<string, string, string>>>();
Dictionary<int, int> BestFp = new Dictionary<int, int>();
for (int j = 1; j < 101; j += step)
{
var newFpForMatch = dbHelper.GetTestingFingerprintDiff(j);
fpForMatchDictionary.Add(j, newFpForMatch);
int bestFp = DbHelper.GetBestFingerprint(j);
BestFp.Add(j, bestFp);
}
for (double threshold = startThreshold; threshold < endThreshold + 0.001; threshold += thresholdStep)
{
int numYes = 0;
int numNo = 0;
int numIdk = 0;
int numAll = 0;
for (int j = 1; j < 101; j += step)
{
int bestFp = BestFp[j];
var fpForMatch = fpForMatchDictionary[j];
string fileNameEt = j.ToString() + "_" + bestFp.ToString() + ".tif";
foreach (var item in fpForMatch)
{
var input1 = InputHelper.GetMonomodalInput(item.Item1, fileNameEt);
if (input1 < threshold)
{
numNo++;
}
else
{
numYes++;
}
numAll++;
var input2 = InputHelper.GetMonomodalInput(item.Item2, fileNameEt);
if (input2 < threshold)
{
numNo++;
}
else
{
numYes++;
}
numAll++;
var input3 = InputHelper.GetMonomodalInput(item.Item3, fileNameEt);
if (input3 < threshold)
{
numNo++;
}
else
{
numYes++;
}
numAll++;
}
}
string str = String.Format("{0} {1} {2} {3} {4}\n", threshold, numAll, numYes, numNo, 0);
File.AppendAllText(Constants.resultsPath + "MonomodalDifTest.txt", str);
}
w.Stop();
return w.ElapsedMilliseconds;
}
public static long MultymodalVotDifTest(int step, double thresholdStep, double startThreshold, double endThreshold)
{
Stopwatch w = Stopwatch.StartNew();
string strFirst = String.Format("Threshold NumFull NumYes NumNo NumIdn\n");
File.AppendAllText(Constants.resultsPath + "MultymodalVotDifTest.txt", strFirst);
DecisionMaker decisionMaker = new DecisionMaker();
QualityHelper qhelper = new QualityHelper();
DbHelper dbHelper = new DbHelper();
Dictionary <int, List <Tuple <string, string, string> > > fpForMatchDictionary = new Dictionary <int, List <Tuple <string, string, string> > >();
Dictionary <int, int> BestFp = new Dictionary <int, int>();
for (int j = 1; j < 101; j += step)
{
var newFpForMatch = dbHelper.GetTestingFingerprintDiff(j);
fpForMatchDictionary.Add(j, newFpForMatch);
int bestFp = DbHelper.GetBestFingerprint(j);
BestFp.Add(j, bestFp);
}
for (double threshold = startThreshold; threshold < endThreshold + 0.001; threshold += thresholdStep)
{
int numYes = 0;
int numNo = 0;
int numIdk = 0;
int numAll = 0;
for (int j = 1; j < 101; j += step)
{
int bestFp = BestFp[j];
var fpForMatch = fpForMatchDictionary[j];
string fileNameEt = j.ToString() + "_" + bestFp.ToString() + ".tif";
foreach (var item in fpForMatch)
{
var input = InputHelper.GetMultymodalInput(item.Item1, item.Item2, item.Item3, fileNameEt);
int yes = 0;
int no = 0;
for (int i = 0; i < input.Count; i++)
{
if (input[i] > threshold)
{
yes++;
}
else
{
no++;
}
}
if (yes > no)
{
numYes++;
}
else
{
numNo++;
}
numAll++;
}
}
string str = String.Format("{0} {1} {2} {3} {4}\n", threshold, numAll, numYes, numNo, 0);
File.AppendAllText(Constants.resultsPath + "MultymodalVotDifTest.txt", str);
}
w.Stop();
return(w.ElapsedMilliseconds);
}
public static long FuzzySameTest(int step, double thresholdStep, double startThreshold, double endThreshold)
{
Stopwatch w = Stopwatch.StartNew();
string strFirst = String.Format("Threshold NumFull NumYes NumNo NumIdk\n");
File.AppendAllText(Constants.resultsPath + "FuzzySameTest.txt", strFirst);
DecisionMaker decisionMaker = new DecisionMaker();
QualityHelper qhelper = new QualityHelper();
Dictionary <int, List <Tuple <string, string, string> > > fpForMatchDictionary = new Dictionary <int, List <Tuple <string, string, string> > >();
Dictionary <int, int> BestFp = new Dictionary <int, int>();
for (int j = 1; j < 101; j += step)
{
int bestFp = DbHelper.GetBestFingerprint(j);
BestFp.Add(j, bestFp);
var newFpForMatch = DbHelper.GetTestingFingerprintSame(j, bestFp);
fpForMatchDictionary.Add(j, newFpForMatch);
}
for (double threshold = startThreshold; threshold < endThreshold + 0.001; threshold += thresholdStep)
{
int numYes = 0;
int numNo = 0;
int numIdk = 0;
int numAll = 0;
for (int j = 1; j < 101; j += step)
{
int bestFp = BestFp[j];
var fpForMatch = fpForMatchDictionary[j];
string fileNameEt = j.ToString() + "_" + bestFp.ToString() + ".tif";
foreach (var item in fpForMatch)
{
var input = InputHelper.GetMultyFuzzyInput(item.Item1, item.Item2, item.Item3, fileNameEt, qhelper);
var answer = decisionMaker.GetAnswer(input, threshold);
switch (answer.ValueName)
{
case "yes":
numYes++;
break;
case "no":
numNo++;
break;
case "idk":
numIdk++;
break;
default:
break;
}
numAll++;
}
}
string str = String.Format("{0} {1} {2} {3} {4}\n", threshold, numAll, numYes, numNo, numIdk);
File.AppendAllText(Constants.resultsPath + "FuzzySameTest.txt", str);
}
w.Stop();
return(w.ElapsedMilliseconds);
}