The Summary of the Application of Pattern Recognition in Image Progressing

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Abstract:

This paper summarized some major methods in image progressing and existent problems. Also we analyzed and summarized the support vector machine pattern recognition which is described as a new direction in pattern recognition in recent years.

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Advanced Materials Research (Volumes 532-533)

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1329-1333

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Li Pincheng, Shao MeiZhen and Huang Jie: Pattern recognition principle and application, Xi'An, China, (2008).

Google Scholar

[2] Qi Feihu: Pattern recognition and image processing, Shang Hai, China, (1990).

Google Scholar

[3] Sergios Theodoridis and Konstantinos Koutroumbas: Pattern recognition, (2006).

Google Scholar

[4] N. B. Karayiannis. and P. I. Pai: Fuzzy vector quantization algorithms and their application in image compression, IEEE Transactions on Image Processing, vol. 4(9), pp.1193-1201, (1995).

DOI: 10.1109/83.413164

Google Scholar

[5] Chen Li and Yap Kim Hui: A fuzzy K nearest neighbor algorithm to blind image deconvolution, IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp.2049-2054, (2003).

DOI: 10.1109/icsmc.2003.1244185

Google Scholar

[6] M. Hanmandlu, K. R. M. Mohan and S. Chakraborty: Fuzzy logic based handwritten character recognition, International Conference on Image Processing, vol. 3, pp.42-45, (2001).

DOI: 10.1109/icip.2001.958046

Google Scholar

[7] J. H. Han and Y. K. Kim: A fuzzy K2NN algorithm using weights from the variance of membership values, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp.394-399, (1999).

DOI: 10.1109/cvpr.1999.784711

Google Scholar

[8] Su Fang and Hong Wen: Bayesian fusion in the application of SAR image classification, Journal of Electronics, vol. 31(7), pp.1107-1101, (2003).

Google Scholar

[9] Du Gan and Sun Xiaozi: Medical image segmentation method of neural network, Xi'An University of Electronic Science and Technology Journal, vol. 25(5), pp.602-605, (1998).

Google Scholar

[10] B. D. Maciel and R. A. Peters: A comparison of neural and statistical techniques in object recognition, IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp.2833-2838, (2000).

DOI: 10.1109/icsmc.2000.884427

Google Scholar

[11] R. Koffi, B. Solaiman and M. C. Mouchot: Contribution of Canny Deriche filter and artificial neural networks to image segmentation, IEEE World Congress on Computational Intelligence, vol. 6, pp.4044-4048, (1994).

DOI: 10.1109/icnn.1994.374861

Google Scholar

[12] Liang Min, Ma QiuMing and Xu GuoDong: A new neural network model for image segmentation, Proceedings of the IEEE 1994 National Aerospace and Electronics Conference, vol. 2, pp.791-794, (1994).

DOI: 10.1109/naecon.1994.332958

Google Scholar

[13] W. E. Reddick, J. Q. Glass and E. N. Cook: Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks, IEEE Transactions on Medical Imaging, vol. 16(6), pp.911-918, (1997).

DOI: 10.1109/42.650887

Google Scholar

[14] Fadzil M. A. Ahmad, Bakar H. Abu: Human face recognition using neural networks, Proceedings of IEEE International Conference on Image Processing. vol. 3, pp.936-939, (1994).

DOI: 10.1109/icip.1994.413708

Google Scholar

[15] Fang Ruiming: Support vector machine theory and its application analysis, China, (2007).

Google Scholar

[16] Wei Baoguo, Wang Aimin and Shenlansun: A new kind of many kinds of pattern recognition support vector machine, Pattern Recognition and Artificial Intelligence, vol. 15(2), pp.178-181, (2002).

Google Scholar

[17] Sun Lihua: Chinese text automatic classification of research. Ha Erbin, China, (2002).

Google Scholar

[18] Guo Guodong, S. Z Li and Chan Kapluk: Face recognition by support vector machines, Proceedings of Fourth IEEE International Conference on Automatic Face and Gesture Recognition, pp.196-201. (2000).

DOI: 10.1109/afgr.2000.840634

Google Scholar

[19] Wu Yandong: Complex background of face detection and localization, Da Lian, China, (2002).

Google Scholar

[20] Zhao Bin, Liu Yong and Xia ShaoWei: Support vector machine and it sapplication in handwritten numeral recognition, Proceedings of 15th International Conference on Pattern Recognition, p.2, (2000).

DOI: 10.1109/icpr.2000.906176

Google Scholar

[21] Shen LanSun, Wei Baoguo and Cai Yiheng: Image analysis for tongue characterization. Chinese Journal of Electronics, vol. 12(3), pp.317-323, (2003).

Google Scholar