Recognition of ancient Chinese characters based on hybrid kernel WLS-SVR

doi:10.3969/j.issn.0253-2778.2015.04.010

Journal of University of Science and Technology of China ›› 2015, Vol. 45 ›› Issue (4): 321-328.DOI: 10.3969/j.issn.0253-2778.2015.04.010

• Original Paper • Previous Articles

Recognition of ancient Chinese characters based on hybrid kernel WLS-SVR

HU Gensheng, SUN Yingying, XU Lingying, LIANG Dong, SUN Xiaoqi

1.School of Electronics and Information Engineering, Anhui University, Hefei 230601, China；2. Editorial Department of Anhui University, Hefei 230039, China

Received:2014-06-10 Revised:2014-12-29 Accepted:2014-12-29 Online:2014-12-29 Published:2014-12-29
Contact: Hu Gensheng
About author:Hu Gensheng(corresponding author), male, born in 1971. PhD/ associate professor. Research field: Machine learning, remote sensing image processing and intelligent algorithm.E-mail：hugs2906@sina.com
Supported by:
Supported by the National Natural Science Foundation of China (61172127), Natural Science Foundation of Anhui Province (1408085MF121).

Abstract

Abstract: The shapes of ancient Chinese characters are often uncertain, which reduces the accuracy of recognition by many classifiers. To solve this problem, a new recognition algorithm combining adaptive weighted least squares support vector regression(WLS-SVR) with hybrid kernel function was proposed to recognize ancient Chinese characters. The weight coefficients of WLS-SVR decayed at a rate of the exponential function of prediction errors. The hybrid kernel was constructed using the wavelet kernel function with local properties and RBF kernel function with global properties. For feature extraction, global point density and component structure are fused with local features of pseudo 2D elastic mesh and local point density. Experiment results show the good robustness and high recognition accuracy of the proposed method.

Key words: ancient Chinese characters recognition, WLS-SVR, hybrid kernel, feature fusion

CLC Number:

TP18

HU Gensheng, SUN Yingying, XU Lingying, LIANG Dong, SUN Xiaoqi. Recognition of ancient Chinese characters based on hybrid kernel WLS-SVR[J]. Journal of University of Science and Technology of China, 2015, 45(4): 321-328.

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Recognition of ancient Chinese characters based on hybrid kernel WLS-SVR

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