roll your own.
start here:
An Introduction to Back-Propagation Neural Networks
The Mind Project: OCR Neural Network
Neural Network OCR - CodeProject
OCR example using Backpropagation networks in ruby :: ai4r
John Resig - OCR and Neural Nets in JavaScript
Convolutional Neural Networks (LeNet-5)
finish here:
LeNet-5 demos
MNIST handwritten digit database, Yann LeCun and Corinna Cortes
[bib2web] Yann LeCun's Publications
Keith Price Bibliography OCR Systems, General
Distortion estimation techniques in solving visual CAPTCHAs
Extraction of Embedded Class Information from Universal Character Pattern
EBLearn: MNIST Demo
EBLearn: libeblearn Tutorial
libraries in python/ruby/c++:
EBLearn: Energy-Based Learning, a C++ Machine Learning Library
Fast Artificial Neural Network Library
Feed-forward neural network for python (ffnet)
Torch 5 - Matlab-like environment for state-of-the-art machine learning algorithms
Flood: An Open Source Neural Networks C++ Library
Lightweight Neural Network Ruby Extension | Moxley Stratton
Neuronal Network Extension for Ruby
convolutional neural net + 1k training set per letter (varied via recaptcha/goog) = 98% accurate decaptcherer.
Damn you!! I need to get shit done today, don't need to spend the next 8 hours writing a fuckin feed forward back propogating neural network hahaha.
Great post, +rep for sure.
You have any experience with developing one of dem der ocr-in apps?