FKP Recognition and Classification

Abstract

In order to identify a person based on their physiological and behavioural traits, biometrics are crucial. When interacting with others who might be familiar or unreliable, this provides us with certainty. Because biometrics have unique and independent properties, they are also entirely reliant on individual dependability. Technologies for identification or recognition are being developed to investigate novel, cutting-edge approaches. The growing sophistication of coun- terfeit technology and certain security issues are to blame for this. For accurate identification and recognition, specific bodily parts—such as the iris, fingerprint, etc.—are utilised. Even with this advancement, many systems continue to have issues, such as sluggish processing Finger- print knuckles (FKP) have emerged as a biometric method for identifying individuals due to their stability and uniqueness. This master’s thesis presents a comprehensive and in-depth study of fingerprint knuckles, their uses, and the use of deep features for authentication using CNN and ANN models,Excellent results were achieved.