Abstract
Biological characteristics based on face, fingerprint and iris images have been extensively studied and used for the identification in the past few decades. As a new-born method, thermal palm vein pattern is gathering more and more attention all over the world. An improved method of identification based on thermal palm vein image is presented in the paper. Five steps are needed to have a person verified: 1) acquisition of infrared palm vein image; 2) detection of ROI (region of interest); 3) enhancement of the palm vein image; 4) features extraction of the palm vein patterns; 5) matching the features between the real palm vein and sample data. Experiments have been carried out on 178 different images and 176 images of them are correctly recognized with two in failure. Experiments show the detection rate is satisfied.
Keywords
- Thermal Vein
- Biological Identification
- Gabor wavelet
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References
Wang, L.Y., Leedham, G., Cho, D.S.: Minutiae Feature Analysis for Infrared Hand Vein Pattern Biometrics. Pattern Recogn. 41, 920–929 (2008)
Lin, C.L., Fan, K.C.: Biometric Verification Using Thermal Images of Palm-Dorsa Vein Patterns. IEEE Trans. Circuits Syst. Video Techn. 14(2), 199–213 (2004)
Hsu, C.B., Hao, S.S., Lee, J.C.: Personal Authentication through Dorsal Hand Vein Patterns. Opt. Engineer. 50, 087201-1–087201-10 (2011)
Wang, J.G., Yau, W.Y., Suwandy, A.: Person Recognition by Fusing Palmprint and Palm Vein Images Based on Laplacianpalm Feature. Pattern Recogn. 41, 1514–1527 (2008)
Lee, J.C.: A Novel Biometric System Based on Palm Vein Image. Pattern Recogn. Lett. 33, 1520–1528 (2012)
Liu, X., Liu, J.B.: Mammary image enhancement based on contrast limited adaptive histogram equalization. Comput. Engineer. Appl. 44(10), 173–175 (2008)
Wang, K.J., Ding, Y.H., Yan, Z.D., Zhen, W.D.: Threshold Segmentation for Hand Vein Image. Techn. Automat. Appl. 24(8), 19–22 (2005)
Suleyman, M., Yu, F.Q., Lambert, S.: Vein Feature Extraction Using DT-CNNs. In: 10th International Workshop on Cellular Neural Networks and Their Applications, Istanbul, Turkey, pp. 28–30 (2006)
Li, Y., Wu, G.F., Dai, G.L., Li, J.J.: A New Algorithm to Extract Contour Feature Points of Palmprint. Microelectron. Compu. 27, 90–94 (2010)
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, R., Wang, G., Chen, Z., Liu, J., Shi, Y. (2012). An Improved Method of Identification Based on Thermal Palm Vein Image. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_3
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DOI: https://doi.org/10.1007/978-3-642-34481-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34480-0
Online ISBN: 978-3-642-34481-7
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