Bat Algorithm for Fingerprint Image Enhancement

Abstract

Fingerprint biometric systems performance is affected by the quality of fingerprint images. To overtake the low quality fingerprint images as well as overmaster the traditional image enhancers, the paper proposes a Bat algorithm for gray scale fingerprint image contrast enhancement. The purpose is for the Bat algorithm to map the gray level distributions for contrast enhancement ends. To assess the approach, the enhancement process is evaluated on low quality images from the FVC 2000 and compared to one of the traditional related-work contrast-based enhancers. The results show that the proposed Bat algorithm has proven to qualitatively and numerically improve the fingerprint image quality through contrast manipulation on the general level of noise eradication and quality metrics in addition to ridge structure clarification and minutiae detection specificities.