Abstract
Fingerprints are one of the most reliable biometrics used to identify people's characteristics. They have unique patterns and also inexpensive to collect and analyze. The proposed system deals with the classification of gender over fingerprint images based on Wave Atom Transform (WAT). In order to efficiently extract the salient features by for the classification of gender by fingerprint images and then provide the classification results using GMM classifier to evaluate the corresponding features. An efficient method for gender classification from fingerprint images based on WAT is gives the highest accuracy of about 90% at 3rd level of decomposition.
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