Công cụ thực nghiệm OCR!

Một số cộng cụ sử dụng trong quá trình thực nghiệm;
- Xử lý ảnh: OpenCv, leptonica, AForge.Imaging (cái này khác tuyệt với)
Thư viện Kmean, clustering :
http://www.alglib.net/commercial.php
Thư viện mọi thứ trọng một về machine learning
http://www.extremeoptimization.com/Default.aspx
Nếu làm SVM không thể quên:
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
À, còn cái này nữa:
http://image.diku.dk/shark/sphinx_pages/build/html/index.html
Supervised learning
Linear discriminant analysis (LDA), Fisher–LDA
Naive Bayes classifier (supporting generic distributions)
Linear regression
Support vector machines (SVMs) for one-class, binary and true multi-category classification as well as regression; includes fast variants for linear kernels.
Feed-forward and recurrent multi-layer artificial neural networks
Radial basis function networks
Regularization networks as well as Gaussian processes for regression
Iterative nearest neighbor classification and regression
Decision trees and random forests
Unsupervised learning
Principal component analysis
Restricted Boltzmann machines (including many state-of-the-art learning algorithms)
Hierarchical clustering
Data structures for efficient distance-based clustering
Evolutionary algorithms
Single-objective optimization (e.g., CMA–ES)
Multi-objective optimization (in particular, highly efficient algorithms for computing as well as approximating the contributing hypervolume)
Fuzzy systems
Basic linear algebra and optimization algorithms