New finger biometric method using near infrared imaging

Sensors

Volumn 11, Issue 3, 2011, Pages 2319-2333

  Lee, Eui Chul ^a   Jung, Hyunwoo ^b   Kim, Daeyeoul ^a  

^a National Institute for Mathematical Sciences   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Binarization; Finger geometry; Finger recognition; Finger vein; Local binary pattern; Local derivative pattern; Modified Gaussian high pass filter

Indexed keywords

ARTICLE; BIOMETRY; FINGER; HISTOLOGY; HUMAN; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; NORMAL DISTRIBUTION; RECEIVER OPERATING CHARACTERISTIC; THREE DIMENSIONAL IMAGING;

BIOMETRY; FINGERS; HUMANS; IMAGING, THREE-DIMENSIONAL; NORMAL DISTRIBUTION; ROC CURVE; SPECTROSCOPY, NEAR-INFRARED;

EID: 79953310381     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s110302319     Document Type: Article

References (40)

1. Lee, E.C.; Jung, H.; Kim, D. Infrared Imaging Based Finger Recognition Method. In Proceedings of International Conference on Convergence and Hybrid Information Technology, Daejeon, Korea, August 2010; pp. 228-230.
2. Jain, A.K.; Ross, A.; Prabhakar, S. An Introduction to Biometric Recognition. IEEE Trans. Circ. Syst. Video Technol. 2004, 14, 4-20.
3. Douglas, A.R.; Richard, C.R. Robust Text-Independent Speaker Identification Using Gaussian Mixture Speaker Models. IEEE Trans. Speech Audio Proc. 1995, 3, 72-83.
4. Kang, B.J.; Park, K.R. A Robust Eyelash Detection Based on Iris Focus Assessment. Pattern Recognition Lett. 2007, 28, 1630-1639.
5. Park, K.R.; Park, H.A.; Kang, B.J.; Lee, E.C.; Jeong, D.S. A Study on Iris Localization and Recognition on Mobile Phone. Eurasip J. Adv. Signal Process. 2008, doi:10.1155/2008/281943.
6. Jang, Y.K.; Kang, B.J.; Park, K.R. A Study on Eyelid Localization Considering Image Focus for Iris Recognition. Pattern Recognition Lett. 2008, 29, 1698-1704.
7. Rowe, R.K.; Nixon, K.A.; Corcoran, S.P. Multispectral Fingerprint Biometrics. In Proceedings of the 6th Systems, Man and Cybernetics Information Assurance Workshop, New York, NY, USA, June 2005; pp. 14-20.
8. Baldisserra, D.; Franco, A.; Maio, D.; Maltoni, D. Fake Fingerprint Detection by Odor Analysis. Lect. Note Comput. Sci. 2005, 3832, 265-272.
9. Zhang, L.; Zhang, L.; Zhang, D.; Zhu, H. Ensemble of Local and Global Information for Finger-Knuckle-Print Recognition. Patt. Recog. 2011, doi: 10.1016/ j. patcog.2010.06.007.
10. Zhang, L.; Zhang, L.; Zhang, D.; Zhu, H. Online Finger-Knuckle-Print Verification for Personal Authentication. Patt. Recog. 2010, 43, 2560-2571.
11. Jee, H.K.; Jung, S.U.; Yoo, J.H. Liveness Detection for Embedded Face Recognition System. Int. J. Biol. Med. Sci. 2006, 1, 235-238.
12. Wiskott, L.J.; Fellous, M.; Kruger, N.; Malsburg, C. Face Recognition by Elastic Bunch Graph Matching. IEEE Trans. Patt. Anal. Mach. Int. 1997, 19, 775-779.
13. Moses, Y.; Adini, Y.; Ullman, S. Face Recognition: The Problem of Compensating for Changes in Illumination Direction. IEEE Trans. Patt. Anal. Mach. Int. 1997, 19, 721-732.
14. Fulton, A.; Bartlett, J.C. Young and Old Faces in Young and Old Heads: The Factor of Age in Face Recognition. Psychol. Aging 1991, 6, 623-630.
15. Park, J.S.; Oh, Y.H.; Ahn, S.C.; Lee, S.W. Glasses Removal from Facial Image Using Recursive Error Compensation. IEEE Trans. Patt. Anal. Mach. Int. 2005, 27, 805-811.
16. Douglas, A.R.; Thomas, F.Q.; Robert, B.D. Speaker Verification Using Adapted Gaussian Mixture Models. Digit. Signal Process. 2000, 10, 19-41.
17. Lee, L.; Grimson, W.E.L. Gait Analysis for Recognition and Classification. In Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition, Washington, DC, USA, May 2002; pp. 148-155.
18. Monrose, F.; Rubin, A.D. Keystroke Dynamics as a Biometric for Authentication. Future Gener. Comput. Syst. 2000, 16, 351-359.
19. Shimizu, K. Optical Trans-Body Imaging: Feasibility of Optical CT and Functional Imaging of Living Body. Jpn. J. Med. Philos. 1992, 11, 620-629.
20. Watanabe, M. Palm Vein Authentication. In Advances in Biometrics: Sensors, Algorithms and Systems; Ratha, N.K., Govindaraju, V., Eds.; Springer-Verlag: Heidelberg, Germany, 2008; pp. 75-88.
21. Fan, K.; Lin, C.; Lee, W. Biometric Verification Using Thermal Images of Palm-Dorsa Vein-Patterns. In Proceedings of 16th IPPR Conference on Computer Vision, Graphics and Image Processing, Kinmen, China, August 2003; pp. 188-195.
22. Ding, Y.; Zhuang, D.; Wang, K. A Study of Hand Vein Recognition Method. In Proceedings of International Conference on Mechatronics and Automation, Ontario, Canada, July 2005; pp. 2106-2110.
23. Lee, E.C.; Lee, H.C.; Park, K.R. Finger Vein Recognition by Using Minutia Based Alignment and LBP Based Feature Extraction. Int. J. Imaging Syst. Technol. 2009, 19, 79-186.
24. Lee, E.C.; Park, K.R. Restoration Method of Skin Scattering Blurred Vein Image for Finger Vein Recognition. Electron. Lett. 2009, 45, 1074-1076.
25. Kono, M.; Ueki, H.; Umemura, S. Near-Infrared Finger Vein Patterns for Personal Identification. Appl. Opt. 2002, 41, 7429-7436.
26. Yanagawa, T.; Aoki, S.; Ohyama, T. Human Finger Vein Images Are Diverse and its Patterns Are Useful for Personal Identification; Kyushu University MHF Preprint Series: Kyushu, Japan, 2007; pp. 1-7.
27. Miura, N.; Nagasaka, A.; Miyatake, T. Feature Extraction of Finger-Vein Patterns Based on Repeated Line Tracking and its Application to Personal Identification. Mach. Vision Appl. 2004, 15, 194-203.
28. Zhang, Z; Ma, S.; Han, X. Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network. In Proceedings of 18th International Conference on Pattern Recognition, Hong Kong, China, August 2006; pp. 145-148.
29. Miura, N.; Nagasaka, A.; Miyatake, T. Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles. IEICE Trans. Inform. Syst. 2007, E90-D, 1185-1194.
30. Himaga, M.; Kou, K. Finger Vein Authentication Technology and Financial Applications. In Advances in Biometrics: Sensors, Algorithms and Systems; Ratha, N.K., Govindaraju, V., Eds.; Springer-Verlag: Heidelberg, Germany, 2008; pp. 89-105.
31. Hashimoto, J. Finger Vein Authentication Technology and Its Future. In Proceedings of Symposium on VLSI Circuits, Honolulu, HI, USA, June 2006; pp. 5-8.
32. Lee, H.C.; Kang, B.J.; Lee, E.C.; Park, K.R. Finger Vein Recognition by Using Weighted LBP Code Based on SVM. J. Zhejiang Univ.-Sci. C 2010, 11, 514-524.
33. Zhang, D.; Guo, Z.; Lu, G.; Zhang, L.; Zuo, W. An Online System of Multispectral Palmprint Verification. IEEE Trans. Instrum. Meas. 2010, 59, 480-490.
34. Daugman, J.G. How Iris Recognition Works. IEEE Trans. Circ. Syst. Video Technol. 2004, 14, 21-29.
35. Gonzalez, R.C.; Woods, R.E. Digital Image Processing, 3rd ed.; Pearson Prentice Hall: New Jersey, NY, USA, 2010; pp. 763-764.
36. Ojala, T.; Pietikainen, M.; Harwood, D. A Comparative Study of Texture Measures with Classification Based on Feature Distributions. Patt. Recog. 1996, 29, 51-59.
37. Ojala, T.; Pietikainen, M.; Maenpaa, T. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Patt. Anal. Mach. Int. 2002, 24, 971-987.
38. Zhang, B.; Gao, Y.; Zhao, S.; Liu, J. Local Derivative Pattern versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor. IEEE Trans. Image Process. 2010, 19, 533-544.
39. Kang, B.J.; Park, K.R.; Yoo, J.; Kim, J.N. Multimodal Biometric Method that Combines Veins, Prints, and the Shape of a Finger. Opt. Eng. 2011, in press.
40. Wayman, J.L. Technical Testing and Evaluation of Biometric Identification Devices. In Biometrics: Personal Identification in Networked Society; Jain, A.K., Bolle, R., Pankanti, S., Eds.; Springer-Verlag: Heidelberg, Germany, 1999; pp. 345-368.