Abstract
In order to solve the problem of discontinuous palmprint mainline, this paper presents a novel algorithm which can make the discontinuous mainline continuous. The algorithm consists of four steps: energy expansion based on the Gaussian function, calculation of texture probability distribution, acquisition of texture pixel values based on the exponential function and determination of the iteration. Compared with traditional methods, the distinct advantage of the algorithm is the palmprint mainline restoration with directional properties. Therefore, wrong palmprint mainline restoration could be reduced effectively. The results illustrate that the proposed algorithm is feasible and valid.
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References
Wang, Y.K.: Dermatoglyphics and Clinic, pp. 3–4. World Publishing Co. Ltd., Beijing (1999)
Yuan, W.-Q., Lin, S., Tong, H.-B.: A Detection Method of Palmprint Principal Lines Based on Local Minimum Gray Value and Line Following. In: The International Conference on Hand-Based Biometrics, pp. 1–5 (2011)
Zhang, D.-P., Shu, W.: Two novel characteristics in plamprint verification. Pattern Recognition 32(4), 691–702 (1999)
Zheng, P., Sang, N.: Using Phase and Directional Line Features for Efficient Palmprint Authentication. In: The 2nd International Congress on Image and Signal Processing, pp. 1–5 (2009)
Han, C.-C., Cheng, H.-L., Lin, C.-L., Fan, K.-C.: Personal authentication using palm-print features. Pattern Recognition 36(2), 371–381 (2003)
Wu, X.-Q., Zhang, D., Wang, K.-Q.: Palmprint classification using principal lines. Pattern Recognition 37(10), 1987–1998 (2004)
Lei, Z., Zhang, D.: Characterization of palmprints by wavelet signatures via directional context modeling. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 34(3), 1335–1347 (2004)
Wang, T., Li, W.-X., Zhao, W.-N.: A new palmprint identification method based on wavelet transformation. In: The 4th Chinese Conference on Biometric Recognition, pp. 105–109 (2003)
Li, W., Zhang, L., Zhang, D., Yan, J.-Q.: Principal line based ICP alignment for palmprint verification. In: The 2009 16th IEEE International Conference on Image Processing, pp. 1961–1964 (2009)
Huang, S., Xu, C.-Q., Jing, H.: Principle Line Extraction and Restoration Based on Wavelet Theory. Journal of Image and Graphics 11(8), 1139–1148 (2008)
Yuan, W.-Q., Dong, Q., Sang, H.-F.: Hand shape contour tracking method based on directional gradient extremum. Optics and Precision Engineering 18(7), 1675–1683 (2010)
Li, W.-X., You, J., Zhang, D.: Texture-based palmprint retrieval using a layered search scheme for personal identification. IEEE Transactions on Multimedia 7(5), 891–898 (2005)
Li, W.-X., Xia, S.-X., Zhang, D.-P.: A New Palmprint Identification Method Using Bi-Directional Matching Based on Major Line Features. Journal of Computer Research and Development 41(6), 996–1002 (2004)
Ning, Y.-H., Lei, X.-Q., Wang, G.-X.: Improved template-based method of burr removal. Journal of Computer Applications 31(1), 58–64 (2011)
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Kang, B., Liu, F., Gao, L. (2014). A New Approach to Palmprint Mainline Restoration Based on Gaussian Distribution. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_25
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DOI: https://doi.org/10.1007/978-3-319-12484-1_25
Publisher Name: Springer, Cham
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