Abstract
This paper presents a novel, local feature-based vein representation method based on minutiae features from skeleton images of venous networks. The main motivation is to learn the most discriminative regions and features of dorsal hand veins to identify persons who are scanned. These minutiae features include end points and the arc lines between the two end points as measured along the boundary of the region of interest. In addition, we propose a dynamic pattern tree to accelerate matching performance and evaluate the discriminatory power of these feature points for verifying a person’s identity. In a comparison with six existing verification algorithms, the proposed method achieved the highest accuracy in the lowest tested matching time.
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Jain, A.K., Bolle, R., Pankanti, S.: Biometrics Personal Identification in Networked Society. Kluwer, Massachusetts (1999)
Cross, J.M., Smith, C.L.: Thermographic imaging of subcutaneous vascular network of the back of the hand for biometric identification. In: Proceedings of IEEE 29th International Carnahan Conference on Security Technology, pp. 20–35 (1995)
Wilson, C.: Vein Pattern Recognition: A Privacy-Enhancing Biometric. CRC Press, Boca Raton (2010)
Lee J.C.: Dorsal hand vein recognition based on EP-tree. In: 14th IAPR International Conference on Machine Vision Applications (MVA), pp. 402–405 (2015)
Lee, J.C., Lee, C.H., Hsu, C.B., Kuei, P.Y., Chang, K.C.: Dorsal hand vein recognition based on 2D Gabor filters. Imaging Sci. J. 62, 127–138 (2014)
Khan, M.M., Subramanian, R.K., Mamode Khan, N.A.: Low dimensional representation of dorsal hand vein features using principle component analysis (PCA). World Acad. Sci. Eng. Technol. 49, 1001–1007 (2009)
Hsu, C.B., Hao, S.S., Lee, J.C.: Personal authentication through dorsal hand vein patterns. Opt. Eng. 47, 067205-1–067205-10 (2011)
Lee, Y.P.: Palm vein recognition based on a modified (2D)$^{2}$LDA. Signal Image Video Process. 9, 229–242 (2015)
Lin, C.L., Fan, K.C.: Biometric verification using thermal images of palm-dorsa vein patterns. IEEE Trans. Circuits Syst. Video Technol. 14, 199–213 (2004)
Lakshmi Deepika, C., Kandaswamy, A.: An algorithm for improved accuracy in unimodal biometric systems through fusion of multiple feature sets. ICGST-GVIP J. 9, 33–40 (2009)
Hsu, C.B., Lee, J.C., Hao, S.S., Kuei, P.Y.: Dorsal hand vein recognition using Gabor feature-based 2-directional 2-dimensional principal component analysis. Adv. Sci. Lett. 8, 813–817 (2012)
Lee, J.C.: A novel biometric system based on palm vein image. Pattern Recognit. Lett. 33, 1520–1528 (2012)
Radzi, S.A., Hani, M.K., Bakhteri, R.: Finger-vein biometric identification using convolutional neural network. Turk. J. Electr. Eng. Comput. Sci. 24(3), 1863–1878 (2016)
Wang, L., Leedham, G., Cho, D.S.: Infrared imaging of hand vein patterns for biometric purposes. IET Comput. Vis. 1, 113–122 (2007)
Wang, L., Leedham, G., Cho, D.S.: Minutiae feature analysis for infrared hand vein pattern biometrics. Pattern Recognit. 41, 920–929 (2008)
Kumar, A., Prathyusha, K.V.: Personal authentication using hand vein triangulation and knuckle shape. IEEE Trans. Image Process. 18, 2127–2136 (2009)
Lee, E.C., Lee, H.C., Park, K.R.: Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction. Int. J. Imaging Syst. Technol. 19, 179–186 (2009)
Yuksel, A., Akarun, L., Sankur, B.: Hand vein biometry based on geometry and appearance method. IET Comput. Vis. 5, 398–406 (2011)
Stentiford, F.W.M., Mortimer, R.G.: Some new heuristics for thinning binary handprinted characters for OCR. IEEE Trans. Syst. Man Cybern. 13, 81–84 (1983)
Bai, X., Latecki, L.J., Liu, W.-Y.: Skeleton pruning by contour partitioning with discrete curve evolution. IEEE Trans. Pattern Anal. Mach. Intell. 29, 449–462 (2007)
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Chuang, SJ. Vein recognition based on minutiae features in the dorsal venous network of the hand. SIViP 12, 573–581 (2018). https://doi.org/10.1007/s11760-017-1195-3
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DOI: https://doi.org/10.1007/s11760-017-1195-3