지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.6 No.6
- 발행연도
- 2017.12
- 수록면
- 387 - 400 (14page)
- DOI
- 10.5573/IEIESPC.2017.6.6.387
이용수
초록· 키워드
오류제보하기
This paper proposes a neighbor minutiae boost–based algorithm to address the challenges in fingerprint matching. The proposed algorithm imitates the behavior of human experts in order to conduct fingerprint matching. It is commonly known that human experts usually observe the relationship between minutiae to confirm correspondence. And then, a multi-feature–based score fusion method is proposed to combine features effectively to obtain a distinctive similarity score. The main idea is to maximize the information contained in fingerprints from two main parts: minutiae distribution pattern and global structural information. Minutiae pattern information is represented by the number of matched minutiae, unmatched minutiae similarity, and matched minutia ratio. Global structural information is demonstrated by singular point information and orientation field consistency. These features are extracted and fused to boost fingerprint recognition accuracy. Experimental results demonstrate the effectiveness of the proposed methods, which improve the overall performance by around 46%, on average, based on experiments with samples from the FVC2000, FVC2002, and FVC2004 fingerprint verification competitions.
목차
Abstract
1. Introduction
2. Related Work
3. The Proposed Method
4. Performance Evaluation
5. Conclusion
References
참고문헌 (28)
참고문헌 신청
J. Wayman, A. Jain, D. Maltoni, and D. Maio. An introduction to biometric authentication systems. Springer London, pp. 1-17, 2005. Article (CrossRef Link)
D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, Handbook of Fingerprint Recognition. 2nd ed. Springer-Verlag, 2009.
X. Jiang, and W. Y. Yau, “Fingerprint minutiae matching based on the local and global structures,” Proceedings of the 15th International Conference on Pattern Recognition, vol. 2, pp. 1038?1041, 2000. Article (CrossRef Link)
T. Y. Jea, and V. Govindaraju, “A minutia-based partial fingerprint recognition system,” Pattern Recognition, vol. 38, no.10, pp. 1672-1684, 2005. Article (CrossRef Link)
S. Chikkerur, A. N. Cartwright, and V. Govindaraju, “K-plet and Coupled BFS: A Graph Based Fingerprint Representation and Matching Algorithm,” Lecture Notes in Computer Science, vol. 3832, pp. 309-315, 2006. Article (CrossRef Link)
X. Jiang, and W. Y. Yau, “Fingerprint minutiae matching based on the local and global structures,” Proceedings of the 15th International Conference on Pattern Recognition, vol. 2, pp. 1038?1041, 2000. Article (CrossRef Link)
T. Y. Jea, and V. Govindaraju, “A minutia-based partial fingerprint recognition system,” Pattern Recognition, vol. 38, no.10, pp. 1672-1684, 2005. Article (CrossRef Link)
S. Chikkerur, A. N. Cartwright, and V. Govindaraju, “K-plet and Coupled BFS: A Graph Based Fingerprint Representation and Matching Algorithm,” Lecture Notes in Computer Science, vol. 3832, pp. 309-315, 2006. Article (CrossRef Link)
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UCI(KEPA) : I410-ECN-0101-2018-569-001667006