Handwritten Digit Recognition in C

This was a project to program an handwritten digit recognizer in C. With the access to a data base with 3500 digits we started by doing some previous treatment to the images. After that we extracted 32 features from each image and we made a normalized database with them. We have implemented 2 classifiers, the K-NN and Naive Bayes. After that we have implemented the Genetic Algorithm to reduce the features needed to classify a new image and to improve the successful classification rate. After all this, with K-NN, we can successful classify 93% of the new handwritten digits with less than 20 features to analyze.