async Task Recognise(MediaFile result)
{
if (result.Source == null)
{
return;
}
try {
activityIndicator.IsRunning = true;
if (!_tesseract.Initialized)
{
var initialised = await _tesseract.Init("eng");
if (!initialised)
{
return;
}
}
if (!await _tesseract.SetImage(result.Source))
{
return;
}
} catch (Exception ex) {
DisplayAlert("Error", ex.Message, "Cancel");
} finally {
activityIndicator.IsRunning = false;
}
TextLabel.Text = _tesseract.Text;
var words = _tesseract.Results(PageIteratorLevel.Word);
var symbols = _tesseract.Results(PageIteratorLevel.Symbol);
var blocks = _tesseract.Results(PageIteratorLevel.Block);
var paragraphs = _tesseract.Results(PageIteratorLevel.Paragraph);
var lines = _tesseract.Results(PageIteratorLevel.Textline);
}
async Task Recognise(MediaFile result)
{
if (result.Source == null)
{
return;
}
activityIndicator.IsRunning = true;
if (!_tesseract.Initialized)
{
var initialised = await _tesseract.Init("eng");
if (!initialised)
{
return;
}
}
_tesseract.SetImage(result.Source)
.ContinueWith((t) =>
{
Device.BeginInvokeOnMainThread(() =>
{
activityIndicator.IsRunning = false;
TextLabel.Text = _tesseract.Text;
var words = _tesseract.Results(PageIteratorLevel.Word);
var symbols = _tesseract.Results(PageIteratorLevel.Symbol);
var blocks = _tesseract.Results(PageIteratorLevel.Block);
var paragraphs = _tesseract.Results(PageIteratorLevel.Paragraph);
var lines = _tesseract.Results(PageIteratorLevel.Textline);
});
});
}
/// <summary>
/// Takes an image, and runs it through Tesseract, returning
/// the cleaned string it detected.
/// </summary>
/// <returns>The ocr.</returns>
/// <param name="image">Image.</param>
private async Task <string[]> ProcessOCR(UIImage image)
{
if (!_tesseractInitialised)
{
//tesseract.SetPageSegmentationMode(PageSegmentationMode.SingleWord);
_tesseractInitialised = await tesseract.Init("eng");
tesseract.SetVariable("tosp_min_sane_kn_sp", "10");
if (!string.IsNullOrEmpty(OCRWhiteList))
{
tesseract.SetWhitelist(OCRWhiteList);
}
}
bool success = await tesseract.SetImage(image.AsPNG().AsStream());
if (!isDisposing)
{
if (success)
{
var results = tesseract.Results(PageIteratorLevel.Word);
return(results?.Select(u => u.Text).ToArray());
}
}
return(null);
}
public async void Sample1Jpg()
{
await _api.Init("eng");
using (var stream = LoadSample("sample1.jpg")) {
var result = await _api.SetImage(stream);
Assert.IsTrue(result);
Assert.AreEqual("The quick brown fox\njumped over the 5\nlazy dogs!", _api.Text);
var data = _api.Results(Tesseract.PageIteratorLevel.Block).ToList();
Assert.AreEqual(1, data.Count);
Assert.AreEqual("The quick brown fox\njumped over the 5\nlazy dogs!\n\n", data [0].Text);
data = _api.Results(Tesseract.PageIteratorLevel.Paragraph).ToList();
Assert.AreEqual(1, data.Count);
Assert.AreEqual("The quick brown fox\njumped over the 5\nlazy dogs!\n\n", data [0].Text);
data = _api.Results(Tesseract.PageIteratorLevel.Symbol).ToList();
Assert.AreEqual(39, data.Count);
data = _api.Results(Tesseract.PageIteratorLevel.Textline).ToList();
Assert.AreEqual(3, data.Count);
Assert.AreEqual("The quick brown fox\n", data [0].Text);
Assert.AreEqual("jumped over the 5\n", data [1].Text);
Assert.AreEqual("lazy dogs!\n\n", data [2].Text);
Assert.AreEqual(new Rectangle(37, 233, 415, 89), data [2].Box);
data = _api.Results(Tesseract.PageIteratorLevel.Word).ToList();
Assert.AreEqual(10, data.Count);
}
}
public async Task Recognise(Stream stream)
{
if (!_tesseract.Initialized)
{
var initialised = await _tesseract.Init("eng");
if (!initialised)
{
return;
}
}
if (!await _tesseract.SetImage(stream))
{
//TO DO Wrong image
}
lbl_text.Text = _tesseract.Text;
var words = _tesseract.Results(PageIteratorLevel.Word);
var symbols = _tesseract.Results(PageIteratorLevel.Symbol);
var blocks = _tesseract.Results(PageIteratorLevel.Block);
var paragraphs = _tesseract.Results(PageIteratorLevel.Paragraph);
var lines = _tesseract.Results(PageIteratorLevel.Textline);
}
async void TakePictureButton_Clicked(object sender, EventArgs e)
{
await CrossMedia.Current.Initialize();
if (!CrossMedia.Current.IsCameraAvailable || !CrossMedia.Current.IsTakePhotoSupported)
{
throw new Exception("No camera available.");
}
var opts = new Plugin.Media.Abstractions.StoreCameraMediaOptions
{
//PhotoSize = PhotoSize.Full,
//SaveToAlbum = true,
//CompressionQuality = 90,
//SaveMetaData = false,
AllowCropping = true,
};
var file = await CrossMedia.Current.TakePhotoAsync(opts);
var photo = file?.GetStream();
if (photo != null)
{
var tessResult = await _tesseractApi.SetImage(photo);
if (tessResult)
{
var textReconized = _tesseractApi.Text;
var resultado = textReconized.Contains("Importe venta");
var test = _tesseractApi.Results(PageIteratorLevel.Textline);
foreach (var item in test)
{
if (item.Text.Contains("IMPORTE VENTA"))
{
MyStringProperty = item.Text;
}
}
}
}
}
/// <summary>
/// Method for recognizing the characters. Input comes from the ScanPage.xaml.cs, and is then processed into words
/// </summary>
/// <param name="result">Stream of bytes of the picture to process</param>
/// <returns></returns>
private async Task Recognise(Stream result)
{
if (IsBusy)
{
return;
}
IsBusy = true;
if (result == null)
{
return;
}
if (!_tesseract.Initialized)
{
var initialised = await _tesseract.Init("deu");
_tesseract.SetWhitelist("0123456789");
_tesseract.SetPageSegmentationMode(PageSegmentationMode.SingleChar);
if (!initialised)
{
return;
}
}
bool success = await _tesseract.SetImage(result);
if (success)
{
var words = _tesseract.Results(PageIteratorLevel.Word);
var symbols = _tesseract.Results(PageIteratorLevel.Symbol);
var blocks = _tesseract.Results(PageIteratorLevel.Block);
var paragraphs = _tesseract.Results(PageIteratorLevel.Paragraph);
var lines = _tesseract.Results(PageIteratorLevel.Textline);
var textResult = "";
var enumerator = words.GetEnumerator();
while (enumerator.MoveNext())
{
var item = enumerator.Current.Text;
textResult += item;
}
bool isDigit = textResult.All(char.IsDigit);
if (!isDigit)
{
textResult = "?";
}
Reading += textResult;
}
else
{
Reading = "didnt work";
}
IsBusy = false;
}
private async void CameraButton_Clicked(object sender, EventArgs e)
{
await CrossMedia.Current.Initialize();
var file = await CrossMedia.Current.TakePhotoAsync(new StoreCameraMediaOptions
{
Directory = "MedSticker",
Name = "sticker.jpg"
});
if (file == null)
{
return;
}
System.IO.Stream photoStream = file.GetStream();
//photo.Source = ImageSource.FromStream(() =>
// {
// var stream = file.GetStream();
//file.Dispose();
// return stream;
// });
//NameEntry.Text = "1";
//Photo.Source = ImageSource.FromStream(file.GetStream); //debug code
//Bitmap bitmap = new Bitmap(photoStream);
//Stream photoStream2 = RaiseContrast(bitmap);
//Photo.Source = ImageSource.FromStream(() => stream2);
bool initialised = await api.Init("eng");
//NameEntry.Text += "2";
api.SetWhitelist("0123456789:-,#'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz");
bool success = await api.SetImage(photoStream);
//NameEntry.Text += "3";
if (success)
{
//List<Result> lines = api.Results(PageIteratorLevel.Textline);
//List<Result> words = api.Results(PageIteratorLevel.Word);
List <Result> results = api.Results(PageIteratorLevel.Symbol).ToList();
//List<Result> blocks = api.Results(PageIteratorLevel.Block);
//List<Result> results = api.Res ults(PageIteratorLevel.Paragraph).ToList();
var res = " ";
var conf = " ";
foreach (Result r in results)
{
if (r.Confidence > 85f)
{
res += r.Text.ToUpper();
conf += r.Confidence.ToString() + " ";
}
}
TestLabel.Text = res;
res = res.Replace(":", "");
//SexEntry.Text = res;
//MREntry.Text = conf;
if (res.Contains("SEX"))
{
var sindex = res.LastIndexOf("SEX") + 2;
SexEntry.Text = res.Substring(sindex + 1, 1);
}
if (res.Contains("PCP"))
{
var nindex = res.LastIndexOf("PCP");
NameEntry.Text = res.Substring(0, nindex);
}
else if (res.Contains("'MR"))
{
var nindex2 = res.LastIndexOf("'MR");
NameEntry.Text = res.Substring(0, nindex2 - 1);
}
if (res.Contains("ACCT") & res.Contains("#"))
{
var mindex2 = res.LastIndexOf("ACCT");
var mindex = res.IndexOf("#");
MREntry.Text = res.Substring(mindex + 1, mindex2 - mindex - 1);
}
if (!(res.Contains("PR") | res.Contains("PCP") | res.Contains("ACCT") | res.Contains("#")))
{
await DisplayAlert("Could not detect text.", "Try again or enter info manually.", "OK");
}
}
else
{
NameEntry.Text = "Image Recognition Failed";
}
}