Fortifying Pattern Recognition for Substantiating Augmented Performance with an Ideal Authentication Scheme

Abstract

This research adds to an understanding and fortification of pattern recognition by using an ideal authentication scheme to illuminate various dynamics of image processing that constitutes identity authentication. The major contribution of the research work is to advance science with respect to pattern recognition and contribute towards security and privacy through authentication and computing methodologies with tasks through biometrics. This study uses hash based scheme to depict authentication occurring within specific public networks and derives a new fingerprint hash algorithm RNA-FINNT1 which refers to Reduced Number of Angles Fingerprint Hash Algorithm for substantiating its performance. Specifically this study advances in identity authentication literature1,2,3 that portray fingerprint as relatively burly parameter that constituted and enacted around image processing ideals or resources. This study reveals the reduction in error percentage4 through RNA-FINNT while at the same time suggesting the diminution of error approximation5 and computing the overall recognition accuracy. The contributions of the study revolve around conceptualizing the identity authentication with RNA-FINNT as a practice that stabilize the fingerprint parameter as most acceptable and confer the security and privacy of the legitimate user. newline