Open AccessFingerprint Identification System Using Half Smoothing Filters
Author(s) -
Zaid A. Abdulkader
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19029
Subject(s) - ridge , fingerprint (computing) , artificial intelligence , computer science , computer vision , identification (biology) , smoothing , filter (signal processing) , biometrics , pattern recognition (psychology) , gaussian , gaussian blur , fingerprint recognition , image (mathematics) , image processing , geography , image restoration , botany , physics , cartography , quantum mechanics , biology
Fingerprints have been significantly utilized for enormous security systems for their high-level accuracy. They even have been used effectively in smartphone devices for payment in addition to the security purpose. In this paper we propose a new finger print recognition method based on ridge and valley features in finger print images. These features extracted by rotating Gaussian semi _filters. The novelty of this finger print approach based on the mixing of directional filters and differences of Gaussian filter ideas. We obtain a new ridge/valley detector enabling very precise detection of ridge/valley points. This method conducted on different fingerprints database images, the proposed method achieves recognition accuracy rate of more than 99% for three fingerprint image datasets ATVS, LivDet2009, and LivDet2011.