Browse > Article
http://dx.doi.org/10.9717/kmms.2013.16.9.1057

Finger-Knuckle-Print Verification Using Vector Similarity Matching of Keypoints  

Kim, Min-Ki (경상대학교 컴퓨터과학과 컴퓨터정보통신연구소)
Publication Information
Journal of Korea Multimedia Society / v.16, no.9, 2013 , pp. 1057-1066 More about this Journal
Abstract
Personal verification using finger-knuckle-print(FKP) uses lines and creases at the finger-knuckle area, so the orientation information of texture is an important feature. In this paper, we propose an effective FKP verification method which extracts keypoints using SIFT algorithm and matches the keypoints by vector similarity. The vector is defined as a direction vector which connects a keypoint extracted from a query image and a corresponding keypoint extracted from a reference image. Since the direction vector is created by a pair of local keypoints, the direction vector itself represents only a local feature. However, it has an advantage of expanding a local feature to a global feature by comparing the vector similarity among vectors in two images. The experimental results show that the proposed method is superior to the previous methods based on orientation codes.
Keywords
Biometrics; Finger-Knuckle-Print; Vector Similarity Matching;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 K. Delac and M. Grgic, "A Survey of Biometric Recognition Methods," Proc. of International Symposium Electronics in Marine , pp. 184-193, 2004.
2 A.H. Mir, S. Rubab, and Z.A. Jhat, "Biometrics Verification: A Literature Survey," International Journal of Computing and ICT Research, Vol. 5, No. 2, pp. 67-80, 2011.
3 김희승, 배병규, "손가락 면 영상 판별에 의한 개인 식별 연구," 멀티미디어학회논문지, 제13 권, 제3호, pp. 378-391, 2010.   과학기술학회마을
4 A. Kong and D. Zhang, "Competitive Coding Scheme for Palmprint Verification," Proc. of 17th ICPR, pp. 520-523, 2004.
5 L. Zhang, L. Zhang, D. Zhang, and H. Zhu, "Online Finger-knuckle-print Verification for Personal Authentication," Pattern Recognition, Vol. 43, No. 7, pp. 2560-2571, 2010.   DOI   ScienceOn
6 L. Zhang, L. Zhang, and D. Zhang, "MonogenicCode: A Novel Fast Feature Coding Algorithm with Applications to Finger- Knuckle-Print Recognition," Proc. of International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, pp. 1-4, 2010.
7 A. Kumar and Y. Zhou, "Personal Identification using finger knuckle orientation features," Electronics Letters, Vol. 45, No. 20, pp. 1023-1025, 2009.   DOI   ScienceOn
8 Z. Li, K. Wang, and W. Zuo, "Finger-Knuckle- Print Recognition using Local Orientation Feature Based on Steerable Filter," Communications in Computer and Information Science, Vol. 304, pp. 224-230, 2012.   DOI
9 S. Aoyama, K. Ito, and T. Aoki, "Fingerknuckle- print Recognition using BLPOCbased local block matching," Proc. of the Asian Conference on Pattern Recognition, pp. 525-529, 2011.
10 L. Zhang, L. Zhang, D. Zhang, and H. Zhu, "Ensemble of Local and Global Information for Finger-knuckle-print Recognition," Pattern Recognition, Vol. 44, No. 9, pp. 1990-1998, 2011.   DOI   ScienceOn
11 A. Morales, C.M. Travieso, M.A. Ferrer, and J.B. Alonso, "Improved Finger-knuckle-print Authentication Based on Orientation Enhancement," Electronics Letters, Vol. 47, No. 6, pp. 380-381, 2011.   DOI   ScienceOn
12 D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004.   DOI   ScienceOn
13 Z. Le-qing, "Finger Knuckle Print Recognition Based on SURF Algorithm," Proc. of International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1879- 1883, 2011.
14 H. Bay, A. Ess, T. Tuyellaars, and L.V. Gool, "Speeded-Up Robust Features (SURF)," Computer Vision and Image Understanding, Vol. 110, No. 3, pp. 346-359, 2008.   DOI   ScienceOn
15 A. Kumar and C. Ravikanth, "Personal Authentication using Finger Knuckle Surface," IEEE Trans. on Information Forensics and Security, Vol. 4, No. 1, pp. 98-110, 2009.   DOI   ScienceOn
16 G.S. Badrinath, A. Nigam, and P. Gupta, "An Efficient Finger-knuckle-print Based on Recognition System Fusing SIFT and SURF Matching Scores," Proc. of International Conference on Information and Communications Security, pp. 374-387, 2011.
17 http://www4.comp.polyu.edu.hk/-csajaykr/ IITD/iitd_knuckle.htm, IIT Delhi Finger Knuckle Database Version 1.0, 2009.