Minutiae Extraction in Fingerprint Using Gabor Filter Enhancement

Human fingerprints are reliable characteristics for personnel identification as it is unique and persistence. A fingerprint pattern consists of ridges, valleys and minutiae. In this paper the Minutiae Extraction in Fingerprint using Gabor Filter Enhancement (MEGFE) algorithm is proposed for minutiae feature extraction and post processing. A global feature extraction and fingerprints enhancement are based on Hong enhancement method which is simultaneously able to extract local ridge orientation and ridge frequency. It is observed that the Sensitivity and Specificity values are better compared to the existing algorithms.