Automatic Handwriting Recognition system for person Identification

This project aims to design an automatic system to recognize the handwriting of a person in
Biometric applications. The pre processing of the images are based on Locate text lines ,Identify the Number of Text Lines and Separation of each text lines. The Gabor filter is used to extract
texture features from handwriting images. In the final stage Naive Bayes Classifier is used to identify the person based on the extracted features.
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