Special Issue Article Open Access

Performing Enhancement and Providing Minutiae Matching Score in LQFI

Abstract

The recital of the fingerprint recognition techniques trusts comprehensively on the eminence of the input fingerprint images. Fingerprint images are frequently of low quality because of the perspectives of the image acquisition procedure. The imperfection of crumple structures from each separable are not archetypally well defined and it is very hard to enhance the contexts of these images. In proposed scheme, enhancement is conceded out two junctures. Algorithm first improves the images in the spatial domain with a spatial crumple compensation filter and then enhances the images in the frequency domain. The limits are crumple direction and frequency of the frequency band pass filters are predictable from the original image and the first-stage enhanced image. The output of the second stage fingerprint images are matches with templates in the public databases and produce the minutiae matching scores.

M.Jayalakshmi, P. Robert

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