Fingerprint Identification and Verification System by Minutiae Extraction Using Artificial Neural Network

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The proposed Fingerprint Identification and verification System is biometric identification methodology that uses digital imaging technology to obtain, store, and analyze fingerprint data. Here the authors want introduced a new method for fingerprint identification technology by minutiae feature extraction using back-propagation algorithm. For an input image, the local ridge orientation is estimated and the region of interest is located. Then, ridges are extracted from the input image, refined to get rid of the small speckles and holes, and thinned to obtain 8-connected single pixel wide ridges. Minutiae are extracted from the thinned ridges and refined using some heuristics. A feature extractor finds minutia features such as ridge end, bifurcation, short ridge and spur from the input fingerprint images.