Enhancement of Finger-Vein Image by Vein Line Tracking and Adaptive Gabor Filtering for Finger-Vein Recognition

So Ra Cho; Young Ho Park; Gi Pyo Nam; Kwang Youg Shin; Hyeon Chang Lee; Kang Ryoung Park; Sung Min Kim; Ho Chul Kim

doi:10.4028/www.scientific.net/AMM.145.219

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 145Enhancement of Finger-Vein Image by Vein Line...

Enhancement of Finger-Vein Image by Vein Line Tracking and Adaptive Gabor Filtering for Finger-Vein Recognition

Abstract:

Biometrics is the technology to identify a user by using the physiological or behavioral characteristics. Among the biometrics such as fingerprint, face, iris, and speaker recognition, finger-vein recognition has been widely used in various applications such as door access control, financial security, and user authentication of personal computer, due to its advantages such as small sized and low cost device, and difficulty of making fake vein image. Generally, a finger-vein system uses near-infrared (NIR) light illuminator and camera to acquire finger-vein images. However, it is difficult to obtain distinctive and clear finger-vein image due to skin scattering of illumination since the finger-vein exists inside of a finger. To solve these problems, we propose a new method of enhancing the quality of finger-vein image. This research is novel in the following three ways compared to previous works. First, the finger-vein lines of an input image are discriminated from the skin area by using local binarization, morphological operation, thinning and line tracing. Second, the direction of vein line is estimated based on the discriminated finger-vein line. And the thickness of finger-vein in an image is also estimated by considering both the discriminated finger-vein line and the corresponding position of finger-vein region in an original image. Third, the distinctiveness of finger-vein region in the original image is enhanced by applying an adaptive Gabor filter optimized to the measured direction and thickness of finger-vein area. Experimental results showed that the distinctiveness and consequent quality of finger-vein image are enhanced compared to that without the proposed method.

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Periodical:

Applied Mechanics and Materials (Volume 145)

Pages:

219-223

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.145.219

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Online since:

December 2011

Authors:

So Ra Cho, Young Ho Park, Gi Pyo Nam, Kwang Youg Shin, Hyeon Chang Lee, Kang Ryoung Park, Sung Min Kim, Ho Chul Kim

Keywords:

Adaptive Gabor Filter, Biometrics, Finger-Vein Recognition, Quality of Finger-Vein Image

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References

[1] N. Miura, A. Nagasaka and T. Miyatake, Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles, Proceedings of International Conference on Machine Vision Applications, (2005), May 16-18; Tsukuba Science City, Japan.

DOI: 10.1093/ietisy/e90-d.8.1185

Google Scholar

[2] S. Zhao, Y. Wang and Y. Wang, Extracting Hand Vein Patterns from Low-Quality Images: A New Biometric Technique Using Low-cost Devices, Proceedings of the 4th International Conference on Image and Graphics, (2007), August 22-24; Sichuan, China.

DOI: 10.1109/icig.2007.97

Google Scholar

[3] L. Wang and G. Leedham, Gray-Scale Skeletonization of Thermal Vein Patterns Using the Watershed Algorithm in Vein Pattern Biometrics, Proceedings of International Conference on Computational Intelligence and Security, (2006).

DOI: 10.1109/iccias.2006.295332

Google Scholar

[4] M. Miura, A. Nagasaka and T. Miyatake: Mach. Vis. App. Vol. 15 (2004), p.194.

Google Scholar

[5] M. Watanabe, in: Palm Vein Authentication, edited by N. K. Ratha, V. Govindaraju, Advances in Biometrics – Sensors, Algorithms and Systems, Springer (2008).

Google Scholar

[6] S. -M. Kim, K. R. Park, D. -K. Park and C. S. Won: J. the Institute of Electronics Engineers of Korea, Vol. 46 (2009), p.23.

Google Scholar

[7] E. C. Lee, H. C. Lee and K. R. Park: Internat. J. Imaging Sys. Technol. Vol. 19 (2009), p.179.

Google Scholar

[8] Y. H. Park, D. N. Tien, H. C. Lee, K. R. Park, E. C. Lee, S. M. Kim and H. C. Kim, A Multimodal Biometric Recognition of Touched Fingerprint and Finger-vein, Proceedings of International Conference on Multimedia and Signal Processing, (2011).

DOI: 10.1109/cmsp.2011.57

Google Scholar

[9] J. Yang, Y. Shi, J. Yang and L. Jiang, A Novel Finger-Vein Recognition Method With Feature Combination, Proceedings of International Conference on Image Processing, (2009), November 7-10; Cairo, Egypt.

DOI: 10.1109/icip.2009.5414165

Google Scholar

[10] J. Yang and J. Yang, Multi-Channel Gabor Filter Design for Finger-Vein Image Enhancement, Proceedings of International Conference on Image and Graphics, (2009), September 20-23; Xi'an, China.

DOI: 10.1109/icig.2009.170

Google Scholar

[11] R. C. Gonzalez and R. E. Woods, in: Digital Image Processing, Prentice-Hall, (2002).

Google Scholar

[12] L. Ma, T. Tan, Y. Wang and D. Zhang: IEEE Trans. Pattern Anal. Machine Intell. Vol. 25 (2003), p.1519.

Google Scholar