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Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification

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Abstract.

We propose a method of personal identification based on finger-vein patterns. An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. The proposed method extracts the finger-vein pattern from the unclear image by using line tracking that starts from various positions. Experimental results show that it achieves robust pattern extraction, and the equal error rate was 0.145% in personal identification.

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References

  1. Shen W, Surette M, Khanna R (1997) Evaluation of automated biometrics-based identification and verification systems. In: Special issue on automated biometric systems. Proc IEEE 85(9):1463-1478

    Google Scholar 

  2. Kono M, Ueki H, Umemura S (2000) A new method for the identification of individuals by using vein pattern matching of a finger. In: Proceedings of the 5th symposium on pattern measurement, Yamaguchi, Japan, pp 9-12 (in Japanese)

  3. Miura N, Nagasaka A, Miyatake T (2001) An extraction of finger vein patterns based on multipoint iterative line tracing. In: Proceedings of the 2001 IEICE general conference, Shiga, Japan, D-12-4 (in Japanese)

  4. Hoover A, Kouznetsova V, Goldbaum M (2000) Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response. IEEE Trans Med Imag 19(3):203-210

    Article  Google Scholar 

  5. Walter T, Klein J, Massin P, Zana F (2000) Automatic segmentation and registration of retinal fluorescein angiographies - application to diabetic retinopathy. In: Proceedings of the 1st international workshop on computer assisted fundus image analysis, Copenhagen, 29-30 May 2000, pp 15-20

  6. Montesinos P, Alquier L (1996) Perceptual organization of thin networks with active contour functions applied to medical and aerial images. In: Proceedings of ICPR’96, Vienna, Austria, pp 25-30

  7. Tsuda T (1995) Monte Carlo methods and simulation, 3rd edn. Baifukan, Tokyo

  8. Nagao M (1983) Methods of image pattern recognition. Corona, San Antonio, TX

  9. Jain AK, Pankanti S (2001) Automated fingerprint identification and imaging systems. In: Lee HC, Gaensslen RE (eds) Advances in fingerprint technology, 2nd edn. Elsevier, New York

  10. Prabhakar S, Jain AK, Pankanti S (2003) Learning fingerprint minutiae and type. Pattern Recog 36(8):1847-1857

    Article  Google Scholar 

  11. Maio D, Maltoni D (1997) Direct gray-scale minutiae detection in fingerprints. IEEE Trans Pattern Anal Mach Intell 19(1):27-40

    Article  Google Scholar 

  12. Im S, Park H, Kim Y, Han S, Kim S, Kang C, Chung C (2001) A Biometric identification system by extracting hand vein patterns. J Korean Phys Soc 28(3):268-272

    Google Scholar 

  13. Jain AK, Ross A, Pankanti S (1999) A prototype hand geometry-based verification system. In: Proceedings of the 2nd international conference on audio- and video-based biometric person authentication. Washington DC, pp 166-171

  14. Boles WW, Boashash B (1998) A human identification technique using images of the iris and wavelet transform. IEEE Trans Signal Process 46(4):1185-1188

    Article  Google Scholar 

  15. Venayagamoorthy GK, Moonasar V, Sandrasegaran K (1998) Voice recognition using neural networks. In: Proceedings of the IEEE South African symposium on communication and signal processing (COMSIG 98), pp 29-32

  16. Jain AK, Duin RPW, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1):4-37

    Article  Google Scholar 

  17. Zhang W, Wang Y (2002) Core-based structure matching algorithm of fingerprint verification. In: Proceedings of the IEEE international conference on pattern recognition, 1:70-74

  18. Chen X, Flynn PJ, Bower KW (2003) Visible-light and infrared face recognition. In: Proceedings of the workshop on multimodal user authentication, pp 48-55

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Authors and Affiliations

  1. HITACHI, Ltd., 1-280 Higashi-koigakubo, Kokubunji-shi, 185-8601, Tokyo, Japan

    Naoto Miura, Akio Nagasaka & Takafumi Miyatake

Authors
  1. Naoto Miura
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  2. Akio Nagasaka
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  3. Takafumi Miyatake
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Corresponding author

Correspondence to Naoto Miura.

Additional information

Received: 27 October 2003, Accepted: 25 February 2004, Published online: 21 July 2004

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Miura, N., Nagasaka, A. & Miyatake, T. Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Machine Vision and Applications 15, 194–203 (2004). https://doi.org/10.1007/s00138-004-0149-2

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  • DOI: https://doi.org/10.1007/s00138-004-0149-2

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