Automated fingerprint recognition using structural matching

-Automated fingerprint recognition has received considerable attention over the past decade . Progress has been made on models of the structure of fingerprints, techniques for the acquisition of prints, and the development of commercial automated fingerprint recognition systems . Despite these advances, there remain considerable opportunities for improvement. The speed of retrieval, and the ability to recognize partial or distorted prints are prominent among those areas that require improvement . This study will describe a structural model of fingerprints, based on local structural relations among features, and an associated automated recognition system which addresses the limitations of existing fingerprint models . Fingerprint recognition Image processing Feature extraction Structural matching Partitioning Identification