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Fingerprint-Based Personal Authentication Using Directional Filter Bank  

박철현 (경북대학교 전자공학과)
오상근 (LG 전자기술원 Mobile Multimedia 연구소)
김범수 (영남이공대학 전자정보계열)
원종운 (ETRI 우정기술연구센터)
송영철 (경북대학교 전자공학과)
이재준 (동서대학교 인터넷공학부)
박길흠 (경북대학교 전자공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.4, 2003 , pp. 256-265 More about this Journal
Abstract
To improve reliability and practicality, a fingerprint-based biometric system needs to be robust to rotations of an input fingerprint and the processing speed should be fast. Accordingly, this paper presents a new filterbank-based fingerprint feature extraction and matching method that is robust to diverse rotations and reasonably fast. The proposed method fast extracts fingerprint features using a directional filter bank, which effectively decomposes an image into several subband outputs Since matching is also performed rapidly based on the Euclidean distance between the corresponding feature vectors, the overall processing speed is so fast. To make the system robust to rotations, the proposed method generates a set of feature vectors considering various rotations of an input fingerprint and then matches these feature vectors with the enrolled single template feature vector. Experimental results demonstrated the high speed of the proposed method in feature extraction and matching, along with a comparable verification accuracy to that of other leading techniques.
Keywords
Personal authentication; fingerprint; directional filter bank(DFB); Biometrics;
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