LAUSR

Abstract Fingerprinting is the most widely used and recognised biometric technology for human authentication. Fingerprint authentication has a proven record as highly secure and convenient as compared to passwords. Hence, fingerprint sensing has come to berecognized as a common and product-differentiating feature in smartphones, tablets and PCs. This paper proposes to develop a Fingerprint recognition system for authentication of personsby using a new technique, termed as ‘associative memory with modify multi-connect architecture’. This, in turn, may pave the way to develop more efficient Fingerprint systemshaving accuracy and lesserprocessing time. Further, with application of additional tranches of associative memory, such systems in the future will acquirepotential to perform highly complex operations and save memory. In this paper, three databases viz., FVC (2004) database, internal database and International NIST database 4 are used. FVC (2004) database contains 640 fingerprint patterns, while internal database contains 2500 different fingerprint patterns; and the International NIST database 4 consists of 2000 pairs of fingerprint patterns. The proposed fingerprint recognition system has an average accuracy of 99.56% and a pattern recognition processing time of approximately 30 s.