Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction

International Journal of Imaging Systems and Technology

Volumn 19, Issue 3, 2009, Pages 175-178

  Lee, Eui Chul ^a   Lee, Hyeon Chang ^b   Park, Kang Ryoung ^b  

^a Sangmyung University   (South Korea)

^b Dongguk University   (South Korea)

Author keywords

Alignment; Biometrics; Finger vein recognition; LBP; Minutia points

Indexed keywords

AFFINE TRANSFORM; COMPUTATIONAL SPEED; EQUAL ERROR RATE; FALSE REJECTION; FINGER VEIN; FINGER VEIN RECOGNITION; IMAGE ALIGNMENT; IMAGE-BASED; INTERNET BANKING; LBP; LOCAL BINARY PATTERNS; MINUTIA; MINUTIA POINTS; PERSONAL AUTHENTICATION; RECOGNITION METHODS; SECURITY REQUIREMENTS; TOTAL PROCESSING TIME;

ACCESS CONTROL; ALIGNMENT; AUTOMATIC TELLER MACHINES; BIOMETRICS; CONTENT BASED RETRIEVAL; ELECTRONIC COMMERCE; IMAGE PROCESSING; PERSONAL COMPUTERS;

FEATURE EXTRACTION;

EID: 69749099430     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.20190     Document Type: Article

References (23)

1. T. Ahonen, A. Hadid, and M. Pietikäinen, Face description with local binary patterns: Application to face recognition, IEEE Trans Pattern Anal Mach Intell 28 (2006), 2037-2041.
2. R.D. Caruso and G.C. Postel, Image editing with Adobe Photoshop 6.0, Radiographics 22 (2002), 993-1002.
3. J.G. Daugman, How iris recognition works, IEEE Trans Circ Syst Video Technol 14 (2004), 21-29.
4. Y. Ding, D. Zhuang, and K. Wang, A study of hand vein recognition method, Proc Int Conf Mechatronics Automation 4 (2005), 2106-2110.
5. K. Fan, C. Lin, and W. Lee, Biometric verification using thermal images of palm-dorsa vein-patterns, Proceeding of CVGIP, 2003, pp. 188-195.
6. R.C. Gonzalez and R.E. Woods, Digital image processing, 1st ed., Prentice Hall, Englewood Cliffs, NJ, 1992.
7. J. Hashimoto, Finger vein authentication technology and its future, Proceeding of Symposium on VLSI Circuits, 2006, pp. 5-8.
8. M. Himaga and K. Kou, "Finger vein authentication technology and financial applications," In Advances in biometrics, N.K. Ratha, V. Govindaraju (Editors), Springer, London, 2008, pp. 89-105.
9. D.P. Huttenlocher, G.A. Klanderman, and W.J. Rucklidge, Comparing images using the Hausdorff distance, IEEE Trans Pattern Anal Mach Intell 15 (1993), 850-863.
10. Y. Jang, B. Kang, and K.R. Park, A study on touchless finger vein recognition robust to the alignment and rotation of finger, J Korea Inf Process Soc 15-B (2008), 275-284.
11. S.M. Kim, K.R. Park, D.K. Park, and C.S. Won, Fast detection of fingervein region for finger-vein recognition, J Inst Electron Eng Korea 46 (2009), 23-31.
12. A.J. Mansfield and J.L. Wayman, Best practices in testing and reporting performance of biometric devices, UK Government Biometrics Working Group, England, 2002.
13. N. Miura, A. Nagasaka, and T. Miyatake, Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification, Mach Vis Appl 15 (2004), 194-203.
14. N. Miura, A. Nagasaka, and T. Miyatake, Extraction of finger-vein patterns using maximum curvature points in image profiles, IEICE Trans Inf Syst E90-D (2007), 1185-1194.
15. T. Ojala, M. Pietikäinen, and D. Harwood, A comparative study of texture measures with classification based on feature distributions, Pattern Recogn 29 (1996), 51-59.
16. T. Ojala, M. Pietikäinen, and T. Maenpaa, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Trans Pattern Anal Mach Intell 24 (2002), 971-987.
17. Z. Sun, T. Tan, and X. Qiu, Graph matching iris image blocks with local binary pattern, Proceeding of ICB 3832 (2006), 366-372.
18. K. Toh, W. Yau, X. Jiang, T. Chen, J. Lu, and E. Lim, Minutiae data synthesis for fingerprint identification applications, Proc Int Conf Image Process 3 (2001), 262-265.
19. L. Wang, G. Leedham, and D.S.-Y. Cho, Minutiae feature analysis for infrared hand vein pattern biometrics, Pattern Recogn 41 (2008), 920-929.
20. M. Watanabe, "Palm vein authentication," In Advances in biometrics, N.K. Ratha, V. Govindaraju (Editors), Springer, London, 2008, pp. 75-88.
21. J. Wayman, "Technical testing and evaluation of biometric identification devices," In Biometrics: Personal identification in networked society, A.K. Jain, R. Bolle, and S. Pankanti (Editors), Kluwer Academic, Netherlands, 1999, pp. 345-368.
22. T. Yanagawa, S. Aoki, and T. Ohyama, Human finger vein images are diverse and its patterns are useful for personal identification, MHF Preprint Series, 2007-12, Kyushu University, 2007, pp. 1-7.
23. Z. Zhang, S. Ma, and X. Han, Multiscale feature extraction of finger-vein patterns based on curvelets and local interconnection structure neural network, The 18th International Conference on Pattern Recognition (ICPR'06), 2006, pp. 145-148.