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An improved method for the character recognition based on SVM

Published: 13 February 2006 Publication History

Abstract

To deal with the character recognition in Chinese vehicle license plate, several feature extraction algorithms are compared in this paper, as well as their performance based on the SVM classifier and the conventional MDC classifier, respectively. The result shows that the combination of Gabor feature and SVM classifier can reach good performance, especially for the Chinese character recognition.

References

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{1} Guangzhi Cao; Jianqian Chen; Jingping Jiang; "An adaptive approach to vehicle license plate localization", Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE, Volume 2, 2-6 Nov. 2003 Page(s):1786-1791 Vol.2, Digital Object Identifier 10.1109/IECON.2003.1280330
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{2} Da-shao Gao, Jie zhou, "Car License Plates Detection from Complex Scene", Proceedings of ICSP2000
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{3} Tsang-Hong Wang, Feng-Chou Ni, Keh-Tsong Li, Yon-Ping Chen, "Robust License Plate Recognition based on Dynamic Projection Warping", Proceeding of the 2004 IEEE International Conference on Networking, Sensing & Control
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{4} Guangzhi Gao, Jiaolan Chen, Jingping Jiang, "An adaptive approach to vehicle license plate localization",
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{5} Oivind Due Trier, Anil K. Jain, and Torfinn Taxt; "Feature Extraction Methods for Character Recognition--- A Survey", Pattern Recognition, Vol. 29, No. 4, pp. 641-662, 1996
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{6} Cheng-Lin Liu; In-Jung Eim; Kim, J.H.; "High accuracy handwritten Chinese character recognition by improved feature matching method"; Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on Volume 2, 18-20 Aug. 1997 Page(s):1033-1037 vol.2
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{7} Liao, S.; Chiang, A.; Qin Lu; Pawlak, M.; "Chinese character recognition via Gegenbauer moments";Pattern Recognition, 2002. Proceedings. 16th International Conference on Volume 3, 11-15 Aug. 2002 Page(s):485-488 vol.3
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{8} Boser, B., I. Guyon, and V. Vapnik (1992). "A training algorithm for optimal margin classifiers"; In Proceedings of the Fifth Annual Workshop on Computational Learning Theory.
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{9} Cortes, C. and V. Vapnik (1995). Support-vector network. Machine Learning 20, 273-297.
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{10} Chih-Chung Chang and Chih-Jen Lin, "A library for support vector machines", 2001, http://www.csie.ntu.edu.tw/~cjlin/libsvm/
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{11} Lu Xiaobo, Ling Xiaojing, Huang Wei, "Vehicle License Plate Character Recognition", IEEE Int, Conf. Neural Networks & Signal Processing, Nanjing, China, December 14-17, 2003

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Published In

cover image Guide Proceedings
AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
February 2006
512 pages
ISBN:0889865566

Publisher

ACTA Press

United States

Publication History

Published: 13 February 2006

Author Tags

  1. SVM
  2. feature extraction
  3. gabor
  4. vehicle license plate recognition (VPR)

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