// Use this for initialization
void Start()
{
String[] names = new string[] {"eng.cube.bigrams", "eng.cube.fold", "eng.cube.lm", "eng.cube.nn", "eng.cube.params", "eng.cube.size", "eng.cube.word-freq", "eng.tesseract_cube.nn", "eng.traineddata"};
String outputPath = Path.Combine(Application.persistentDataPath, "tessdata");
if (!Directory.Exists(outputPath))
Directory.CreateDirectory(outputPath);
foreach (String n in names)
{
TextAsset textAsset = Resources.Load<TextAsset>(Path.Combine("tessdata", n));
String filePath = Path.Combine(outputPath, n);
#if UNITY_METRO
UnityEngine.Windows.File.WriteAllBytes(filePath, textAsset.bytes);
#else
if (!File.Exists(filePath))
File.WriteAllBytes(filePath, textAsset.bytes);
#endif
}
_ocr = new Tesseract(outputPath, "eng", OcrEngineMode.TesseractCubeCombined);
Debug.Log("OCR engine loaded.");
Image<Bgr, Byte> img = new Image<Bgr, byte>(480, 200);
String message = "Hello, World";
CvInvoke.PutText(img, message, new Point(50, 100), Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, new MCvScalar(255, 255, 255));
_ocr.Recognize(img);
Tesseract.Character[] characters = _ocr.GetCharacters();
foreach (Tesseract.Character c in characters)
{
CvInvoke.Rectangle(img, c.Region, new MCvScalar(255, 0, 0));
}
String messageOcr = _ocr.GetText().TrimEnd('\n', '\r'); // remove end of line from ocr-ed text
Debug.Log("Detected text: "+ message);
Texture2D texture = TextureConvert.InputArrayToTexture2D(img, FlipType.Vertical);
this.GetComponent<GUITexture>().texture = texture;
this.GetComponent<GUITexture>().pixelInset = new Rect(-img.Width / 2, -img.Height / 2, img.Width, img.Height);
}
/// <summary>
/// Tesseract OCR
/// </summary>
/// <param name="filteredPlate"></param>
/// <returns></returns>
private StringBuilder TesseractOCR(UMat filteredPlate)
{
Emgu.CV.OCR.Tesseract.Character[] words;
StringBuilder strBuilder = new StringBuilder();
using (UMat tmp = filteredPlate.Clone())
{
_ocr.SetImage(tmp);
_ocr.Recognize();
strBuilder.Append(_ocr.GetUTF8Text());
words = _ocr.GetCharacters();
//if (words.Length == 0) continue;
//for (int i = 0; i < words.Length; i++)
//{
// strBuilder.Append(words[i].Text);
//}
}
return(strBuilder);
}
static void Main(string[] args)
{
var files = Directory.GetFiles(@"d:\raw\classified\");
//var img = new Image<Rgb, byte>(files[0]);
var img = new Image<Emgu.CV.Structure.Gray, byte>(@"d:\raw\classified\test.jpg");
var _ocr = new Tesseract(@"D:\", "eng", OcrEngineMode.TesseractCubeCombined);
_ocr.SetVariable("tessedit_char_whitelist", "1234567890");
_ocr.Recognize(img);
var result = _ocr.GetCharacters();
}
private void button5_Click(object sender, EventArgs e)
{
var _ocr = new Tesseract(@"D:\", "eng", OcrEngineMode.TesseractCubeCombined);
_ocr.SetVariable("tessedit_char_whitelist", "1234567890");
_ocr.Recognize(_inputArray);
var result = _ocr.GetCharacters().ToList();
var sb = new StringBuilder();
result.ForEach(c => sb.Append(c.Text));
label1.Text = sb.ToString();
}
private void FindLicensePlate(
VectorOfVectorOfPoint contours,
int[,] hierachy,
int idx,
IInputArray gray,
IInputArray canny,
List <IInputOutputArray> licensePlateImagesList,
List <IInputOutputArray> filteredLicensePlateImagesList,
List <RotatedRect> detectedLicensePlateRegionList,
List <String> licenses)
{
if (hierachy.Length != 0)
{
for (; idx >= 0; idx = hierachy[idx, 0])
{
int numberOfChildren = GetNumberOfChildren(hierachy, idx);
//if it does not contains any children (charactor), it is not a license plate region
if (numberOfChildren == 0)
{
continue;
}
using (VectorOfPoint contour = contours[idx])
{
if (CvInvoke.ContourArea(contour) > 400)
{
if (numberOfChildren < 3)
{
//If the contour has less than 3 children, it is not a license plate (assuming license plate has at least 3 charactor)
//However we should search the children of this contour to see if any of them is a license plate
FindLicensePlate(contours, hierachy, hierachy[idx, 2], gray, canny, licensePlateImagesList,
filteredLicensePlateImagesList, detectedLicensePlateRegionList, licenses);
continue;
}
RotatedRect box = CvInvoke.MinAreaRect(contour);
if (box.Angle < -45.0)
{
float tmp = box.Size.Width;
box.Size.Width = box.Size.Height;
box.Size.Height = tmp;
box.Angle += 90.0f;
}
else if (box.Angle > 45.0)
{
float tmp = box.Size.Width;
box.Size.Width = box.Size.Height;
box.Size.Height = tmp;
box.Angle -= 90.0f;
}
double whRatio = (double)box.Size.Width / box.Size.Height;
if (!(3.0 < whRatio && whRatio < 10.0))
//if (!(1.0 < whRatio && whRatio < 2.0))
{
//if the width height ratio is not in the specific range,it is not a license plate
//However we should search the children of this contour to see if any of them is a license plate
//Contour<Point> child = contours.VNext;
if (hierachy[idx, 2] > 0)
{
FindLicensePlate(contours, hierachy, hierachy[idx, 2], gray, canny, licensePlateImagesList,
filteredLicensePlateImagesList, detectedLicensePlateRegionList, licenses);
}
continue;
}
using (UMat tmp1 = new UMat())
using (UMat tmp2 = new UMat())
{
PointF[] srcCorners = box.GetVertices();
PointF[] destCorners = new PointF[] {
new PointF(0, box.Size.Height - 1),
new PointF(0, 0),
new PointF(box.Size.Width - 1, 0),
new PointF(box.Size.Width - 1, box.Size.Height - 1)
};
using (Mat rot = CvInvoke.GetAffineTransform(srcCorners, destCorners))
{
CvInvoke.WarpAffine(gray, tmp1, rot, Size.Round(box.Size));
}
//resize the license plate such that the front is ~ 10-12. This size of front results in better accuracy from tesseract
Size approxSize = new Size(240, 180);
double scale = Math.Min(approxSize.Width / box.Size.Width, approxSize.Height / box.Size.Height);
Size newSize = new Size((int)Math.Round(box.Size.Width * scale), (int)Math.Round(box.Size.Height * scale));
CvInvoke.Resize(tmp1, tmp2, newSize, 0, 0, Inter.Cubic);
//removes some pixels from the edge
int edgePixelSize = 3;
Rectangle newRoi = new Rectangle(new Point(edgePixelSize, edgePixelSize),
tmp2.Size - new Size(2 * edgePixelSize, 2 * edgePixelSize));
UMat plate = new UMat(tmp2, newRoi);
UMat filteredPlate = FilterPlate(plate);
//Tesseract.Character[] words;
StringBuilder strBuilder = new StringBuilder();
using (UMat tmp = filteredPlate.Clone())
{
Emgu.CV.OCR.Tesseract.Character[] words;
_ocr.Recognize(tmp);
strBuilder.Append(_ocr.GetText());
words = _ocr.GetCharacters();
if (words.Length == 0)
{
continue;
}
for (int i = 0; i < words.Length; i++)
{
strBuilder.Append(words[i].Text);
}
}
licenses.Add(strBuilder.ToString());
//изображения номеров
licensePlateImagesList.Add(plate);
filteredLicensePlateImagesList.Add(filteredPlate);
detectedLicensePlateRegionList.Add(box);
}
}
}
}
}
}
