Extracting Palm Vein Patterns Based on Low-Cost Devices

Lu Wang; Wen Tao Zhang

doi:10.4028/www.scientific.net/AMM.278-280.1374

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A Combination Approach to Noise Reduction in Digital Image Processing
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A New Robust Color Image Watermarking Based on DWT and DRT
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Extracting Palm Vein Patterns Based on Low-Cost Devices
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Extracting Palm Vein Patterns Based on Low-Cost...

Extracting Palm Vein Patterns Based on Low-Cost Devices

Abstract:

Abstract. In order to figure out the low-cost imaging apparatus’ problems, such as the low image contrast, the indistinct vein characteristics, which are affected by the photoelectric noise during the collection process. In this paper, the vein imaging principle is discussed, and a low-cost collection device is designed, at the same time a two-dimensional multi-directional Gaussian filter is constructed to achieve the enhancement of low quality palm vein image, and the Local Dynamic Threshold Segmentation Method (Niblack) is adopted to extract vein characteristics. The results show that this method is able to extract distinct vein characteristics, and also can provide reliable characteristics basis for palm vein recognition system.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1374-1378

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1374

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Online since:

January 2013

Authors:

Lu Wang, Wen Tao Zhang

Keywords:

Gaussian Matched Filter, Image Enhancement, Palm Vein, Segmentation

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References

[1] Lin, C.L., Fan, K.C.: Biometric Verification Using Thermal Images of Palm-Dorsa Vein Patterns. IEEE Transactions on Circuits and Systems for Video Technology 14(2), 199–213 (2004).

DOI: 10.1109/tcsvt.2003.821975

Google Scholar

[2] Wang, L., Graham, L.: Near- and Far- Infrared Imaging for Vein Pattern Biometrics. In: IEEE ICAVSS, IEEE Computer Society Press, Los Alamitos (2006).

Google Scholar

[3] Toh, K., Eng, A.H.L., Choo, Y.S., Cha, Y.L., Yau, W.Y., Low, K.S.: Identity Verification Through Palm Vein and Crease Texture. In: IEEE ICB, p.546–553. IEEE Computer Society Press, Los Alamitos (2006).

DOI: 10.1007/11608288_73

Google Scholar

[4] Matcher S J，Elwell C E, Cooper C E, etc.: Anal Biochem, 1995, 27: 54—68.

Google Scholar

[5] Fenghua Tian, Haishu Ding, Guangzhi Wang: Spectroscopy and Spectral Analysis, 2002, 22(2): 209-212. (In Chinese).

Google Scholar

[6] D. Zhang, W. K. Kong, J. You, M. Wong, Online Palmprint Identification, IEEE Trans. on Pattern Analysis and Machine Intelligence, (2003).

DOI: 10.1109/tpami.2003.1227981

Google Scholar

[7] Naoto Miura, Akio Nagasaka and Takafumi Miyatake, 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).

DOI: 10.1007/s00138-004-0149-2

Google Scholar

[8] Kejun Wang, Yan Zhang, Zhi Yuan and Dayan Zhuang, Hand Vein Recognition Based on Multi Supplemental Features of Multi-Classifier Fusion Decision, Proceeding of the IEEE, International Conference on Mechatronics and Automation, (2006).

DOI: 10.1109/icma.2006.257486

Google Scholar