Java OCR

I had no trouble using the GUI to train and analyze a simple photo of some text. I also quickly created my own code that did the same, with no UI (just a console app). Fast and easy! However, my goal is to run this on Android [as is mentioned elsewhere here - right?] but I think there's a show-stopper: JavaOCR uses AWT and ImageIO (javax.imageio, that is), neither of which are supported under Android. That said, this seems to be a quite worthwhile effort, for what it is. /rob PS - Here's a quick example of how to use this code. I created 4 training files containing images of "123456789", "ABCDE", "A" and "4", because with just the first two files, the OCR confused "A" and "4" sometimes (not surprising). The test files had "45A3" and "46B3" in them, and the code got it correct! <code> package net.robcranfill.javaocr.test; import java.awt.image.BufferedImage; import java.io.File; import java.util.ArrayList; import java.util.List; import java.util.Map; import javax.imageio.ImageIO; import net.sourceforge.javaocr.gui.GUIController; import net.sourceforge.javaocr.gui.meanSquareOCR.TrainingImageSpec; import net.sourceforge.javaocr.ocrPlugins.mseOCR.CharacterRange; import net.sourceforge.javaocr.ocrPlugins.mseOCR.OCRScanner; import net.sourceforge.javaocr.ocrPlugins.mseOCR.TrainingImage; public class Test1 { /** * @param args - unused. */ public static void main(String[] args) { new Test1().test1(); } private void test1() { // All files are here: String imageLoc = "D:/proj/_misc/JavaOCR/test1/"; // Load 4 training files List<TrainingImageSpec> images = new ArrayList<TrainingImageSpec>(0); TrainingImageSpec tis = null; tis = new TrainingImageSpec(); tis.setFileLocation(imageLoc + "1-9-Arial.png"); tis.setCharRange(new CharacterRange('1', '9')); images.add(tis); tis = new TrainingImageSpec(); tis.setFileLocation(imageLoc + "A-E-Arial.png"); tis.setCharRange(new CharacterRange('A', 'E')); images.add(tis); tis = new TrainingImageSpec(); tis.setFileLocation(imageLoc + "A-actual-small.png"); tis.setCharRange(new CharacterRange('A', 'A')); images.add(tis); tis = new TrainingImageSpec(); tis.setFileLocation(imageLoc + "4-actual-small.png"); tis.setCharRange(new CharacterRange('4', '4')); images.add(tis); // Run the OCR on our 'test' files OCRScanner ocrScanner = new OCRScanner(); try { Map<Character, List<TrainingImage>> trainingImages = GUIController.getTrainingImageHashMap(images); ocrScanner.addTrainingImages(trainingImages); // test image 1 String targImageLoc = imageLoc + "45A3-crop-rot-inv.png"; BufferedImage targetImage = ImageIO.read(new File(targImageLoc)); String text = ocrScanner.scan(targetImage, 0, 0, 0, 0, null); System.out.printf("OCR %s: '%s'\n", targImageLoc, text); // test image 2 targImageLoc = imageLoc + "46B3-crop-rot-inv.png"; targetImage = ImageIO.read(new File(targImageLoc)); text = ocrScanner.scan(targetImage, 0, 0, 0, 0, null); System.out.printf("OCR %s: '%s'\n", targImageLoc, text); } catch (Exception e) { e.printStackTrace(); } } } </code>

alguien podria decirme como puedo implementarla, la verdad soy nueva en java y no se como hacerlo, gracias por su coolaboracion

Excellent work.