Title: Pattern recognition by embedded reduced number of angles fingerprint algorithm in biometric machines augments security
Authors: Kuljeet Kaur; G. Geetha
Addresses: School of Computer Applications, Lovely Professional University, NH-21, Phagwara-144401, Punjab, India ' School of Computer Applications, Lovely Professional University, NH-21, Phagwara-144401, Punjab, India
Abstract: In this paper, a biometric machine with embedded RNA-FINNT (reduced number of angles fingerprint) hash algorithm with specifications is proposed. The essential objective is to propose a methodology for enhancement of security at all platforms where biometric identity authentication is implemented. For this purpose, existing algorithms and techniques are first introduced with their proposed methodology, drawbacks and results. Then RNA-FINNT implementation is discussed and compared with the existing algorithms and techniques, and the advantages and results of it are derived. Illustrative experiment and results are analysed to prove the augmentation of security in the biometric machines. In particular, the proposed method enhances the security and privacy for identity authentication through biometric machines.
Keywords: biometric machines; fingerprints; identity authentication; pattern recognition; biometrics; privacy; security; fingerprint recognition; biometric authentication.
International Journal of Computer Applications in Technology, 2015 Vol.51 No.2, pp.131 - 144
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 20 Apr 2015 *