FEATURES EXTRACTION OF FINGERPRINTS BASED BAT ALGORITHMS

Abstract

The majority of conventional techniques rely on clear-cut relationships. The smart card and password procedures are two of the most illustrative instances of them. Verifying that people are who they say they are is one of a security system's main duties. This paper presented a novel method for extracting Bat Algorithmbased features from fingerprint photographs (BA). The echolocation behavior of bats for distance perception served as the basis for the bat algorithm. Bats hunt at night by emitting brief, intense sound pulses and listening for the echoes that are reflected back from obstacles or prey. A bat's unique hearing system can assist it in estimating an object's size and location. Within the Features Extraction phase, the bat algorithm is applied as a pre-enhancing step that will choose the clear minutiae structures which will be more fit for the matching phase. The results show that the suggested system operates better when the BA algorithm extracts the best features for all user fingerprints in the database with the appropriate amount of time for each user