Fingerprint based gender classification using ANN

Abstract

Fingerprint contains ridge and valley which together form distinctive patterns. A fingerprint Biometric trait is one of the important trait working with good results in the gender classification. The plan agreements with the problem of gender classification using fingerprint images. The project proposed a technique for classifying the gender based on feature extraction. The related feature to be removed and differentiate the gender is Gabor filters and Minutiae extraction and ROI. The extracted feature is used to train artificial neural network based on the extracted data.