Abstract
Many automatic fingerprint identification approaches have been suggested. Amongst those various methods, the minutiae-based fingerprint demonstration and recognition is widely used. Minutiae based representation has some disadvantages in comparison to other fingerprint approached in terms of sample size. This paper describes a novel concept of partition based approach for fingerprint identification which aims to improve error rates as well as processing time in matching fingerprints. We aim to split the identity image into well separated partitions in order to simplify the identification task. Our system will use the gray-scale information of the fingerprints. The system will select the primary fingerprint, perform feature extraction & feature matching to identify the image in the database by comparing the featured values of both the fingerprints. Our implementation mainly incorporates image pre-processing, image partitioning, image binarization, feature extraction and feature matching. It finally generates a score which tells whether two fingerprints match or not.
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