handwriting

I have a requirement in my iPhone app which is something similar to Handwriting Recognition . I want to give user a space on my view where he can write any character by touch and dragging his finger on the screen and based on what matches with his input the textbox should show the English alphabet. Above is an example of what I want: How should I implement this feature? I am a beginner in this. There is no handwriting Frameworks or Libraries currently available. If you are brainy enough use some gesture techniques of iOS and handwriting algorithms to create it You better start to learn about

I am trying two draw digital signature using Bezier as show in above image.when i touch and try to draw line then the result is dot line but not getting continuous line. Simple signature done by using simple signature but I want to create more a smooth curve using Bezier with touch pressure. tried with this link SignatureViewDemo.java public class SignatureViewDemo extends View { private int color = Color.BLACK; private Bitmap m_Bitmap; private final Paint m_BorderPaint; private Canvas m_Canvas; private Point m_CropBotRight; private Point m_CropTopLeft; private float m_CurrentX; private float

I think there are some algorithms that evaluate difference between drawn symbol and expected one, or something like that. Any help will be appreciated :)) You can implement a simple Neural Network to recognize handwritten digits. The simplest type to implement is a feed-forward network trained via backpropagation (it can be trained stochastically or in batch-mode). There are a few improvements that you can make to the backpropagation algorithm that will help your neural network learn faster (momentum, Silva and Almeida's algorithm, simulated annealing). As far as looking at the difference

Does anyone know of an open source Intelligent Character Recognition (ICR) library? There seems to be plenty out there for OCR but I am focusing on recognizing handwriting and would love it if there was an open source solution out there. OCRopus claims to do handwriting recognition. It's available under the Apache License 2.0. OCRopus does not appear to be ICR-ready at this time. From an OCRopus developer forum message on Dec 18, 2009. Pretty much all thee old code for handwriting recognition is there and it's now accesssible from Python; it should be fairly easy to script a handwriting

I've been trying to learn about Neural Networks for a while now, and I can understand some basic tutorials online. Now i want to develop online handwritten recognition using Neural Network. So i haven't any idea where to start? And i need a very good instruction. In finally i'm java programmer. What do you suggest I do? Gregory Pakosz Start simple with character recognition on the Unipen database. You will need to extract pertinent features out of raw trajectory data in order to form what's commonly called a "feature vector". For instance you could resample the data using an interpolation

Is there any specific algorithm for handwriting recognition? The algorithm should recognize the hand written letter. Any one could help would be greatly appreciated in advance. Thank you You can use a genetic algorithm: http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p03.pdf You can use Greedy Point Match: http://www.cs.berkeley.edu/~fateman/msw/GreedyPointMatchWriteup.pdf I would suggest reading this paper: On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey OCR might be a good starting point. There's the dollar family of recognizers which you can use to recognize single or