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| An Improved Algorithm of Principal Line Extraction and RegistrationBased on MFRAT and ICP |
| XIANG Bei-Hai1, YU Zhao-Xian1, QU Han-Bing2 |
1.School of Applied Science, Beijing Information Science and Technology University, Beijing 100192
2.Beijing Institute of Applied Technology, Beijing 100021 |
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Abstract To improve the recognition accuracy of palmprint images with some rotations and translations, the improved iterative closest point(ICP) algorithm based on direction and nearest neighbor(DNN) is proposed to make registration for principal-line feature images, and the strategy combining coarse registration and fine registration is taken in the process of principal-lines feature image registration. The experimental results show that the proposed method has high computational efficiency and good ability to resist rotation and translation.
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Received: 14 August 2013
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[1] Zhang D, Kong W K, You J, et al. Online Palmprint Identification. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(9): 1041-1050
[2] Kong A W K, Zhang D. Competitive Coding Scheme for Palmprint Verification // Proc of the 17th International Conference on Pattern Recognition. Cambridge, UK, 2004, I: 520-523
[3] Sun Z N, Tan T N, Wang Y H, et al. Ordinal Palmprint Representation for Personal Identification // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, I: 279-284
[4] Kong A, Zhang D, Kamel M. Palmprint Identification Using Feature-Level Fusion. Pattern Recognition, 2006, 39(3): 478-487
[5] Jia W, Huang D S, Zhang D. Palmprint Verification Based on Robust Line Orientation Code. Pattern Recognition, 2008, 41(5): 1504-1513
[6] Wu X Q, Zhang D, Wang K Q. Palm Line Extraction and Matching for Personal Authentication. IEEE Trans on Systems, Man, and Cybernetics-Part A: Systems and Humans, 2006, 36(5): 978-987
[7] Huang D S, Jia W, Zhang D. Palmprint Verification Based on Principal Lines. Pattern Recognition, 2008, 41(4): 1316-1328
[8] Michael G K O, Connie T, Teoh A B J. Touch-Less Palm Print Biometrics: Novel Design and Implementation. Image and Vision Computing, 2008, 26(12): 1551-1560
[9] Li W, Zhang L, Zhang D, et al. Principal Line Based ICP Alignment for Palmprint Verification // Proc of the 16th IEEE International Conference on Image Processing. Cairo, Egypt, 2009: 1961-1964
[10] Li W, Zhang B, Zhang L, et al. Principal Line-Based Alignment Refinement for Palmprint Recognition. IEEE Trans on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 2012, 42(6): 1491-1499
[11] Yue F, Zuo W M, Zhang D. ICP Registration Using Principal Lines and Orientation Features for Palmprint Alignment // Proc of the 17th IEEE International Conference on Image Processing. Hong Kong, China, 2010: 3069-3072
[12] Besl P J, McKay N D. A Method for Registration of 3-D Shapes. IEEE Trans on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256
[13] Zhang Z Y. Iterative Point Matching for Registration of Free-Form Curves and Surface. International Journal of Computer Vision, 1994, 13(2): 119-152
[14] Greenspan M, Godin G. A Nearest Neighbor Method for Efficient ICP // Proc of the 3rd International Conference on 3-D Digital Imaging and Modeling. Quebec City, Canada, 2001: 161-168
[15] Jost T, Hugli H. A Multi-resolution Scheme ICP Algorithm for Fast Shape Registration // Proc of the 1st International Symposium on 3D Data Processing, Visualization and Transmission. Padova, Italy, 2002: 540-543
[16] Sharp G C, Lee S W, Wehe D K. ICP Registration Using Invariant Features. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(1): 90-102
[17] Biometrics Research Centre (BRC). PolyU Palmprint Database [DB/OL].[2010-12-14].http://www.comp.polyu.edu.hk/~biometrics/ |
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2015, Vol. 28 
