handwriting-recognition

I've never used OpenCV before, but I'm trying to write my neural network system to recognize text and I need some tool for text extraction/ segmentation. How can I use java OpenCV to preprocess and segmentate an image containing text. I don't need to recognize the text, I just need to get each letter in a separate image. Something like this : Try this code .No need of OpenCV import java.awt.image.BufferedImage; import java.util.ArrayList; import java.util.List; import org.neuroph.imgrec.ImageUtilities; public class CharExtractor { private int cropTopY = 0;//up locked coordinate private int

The problem is a bit different than traditional handwriting recognition. I have a dataset that are thousands of the following. For one drawn character, I have several sequential (x, y) coordinates where the pen was pressed down. So, this is a sequential (temporal) problem. I want to be able to classify handwritten characters based on this data, and would love to implement HMMs for learning purposes. But, is this the right approach? How can they be used to do this? I think HMM can be used in both problems mentioned by @jens. I'm working on online handwriting too, and HMM is used in many

I am trying to use text recognition with the WPF InkCanvas control on a Windows 8.1 computer with .Net 4.5. Note: **WPF InkCanvas control Windows 8.1 **, not Windows Forms, nor Windows Apps! According to the help it should be quite easy: MSDN: Handwriting Recognition However when I get to this paragraph I get stuck. Add a reference to the WPF Ink Analysis assemblies, IAWinFX.dll, IACore.dll, and IALoader.dll, which can be found in \Program Files\Reference Assemblies\Microsoft\Tablet PC\v1.7. Replace the contents of the code behind file with the following code. I do not have these files on my

I have the following code (which is in fact just 1 part of 4 needed to run all the project I am working on..): #python classify.py --model models/svm.cpickle --image images/image.png from __future__ import print_function from sklearn.externals import joblib from hog import HOG import dataset import argparse import mahotas import cv2 ap = argparse.ArgumentParser() ap.add_argument("-m", "--model", required = True, help = "path to where the model will be stored") ap.add_argument("-i", "--image", required = True, help = "path to the image file") args = vars(ap.parse_args()) model = joblib.load

Is there any good Handwriting recognition API to help develop application on Android Platform? Google has released (around July 2012 http://www.google.com/insidesearch/features/search/handwritinginput/index.html ) a feature to use handwriting for search in touch screen devices it looks great, is there a possibility to get access to these API's for use in Android Apps? * I'm Product Manager at Vision Objects * I guess that you'll be able to find what you're looking for on the developer forum of Vision Objects . We announced new APIs 2 weeks ago . And you can have a look on our web demo here .