Script Identification Based on Wavelet Energy Histogram Moment Features

摘要：

In this paper, we propose a novel texture feature extraction method which compute the weighted moment of the wavelet energy histogram of the decomposed images. A total of 15 features are extracted for script classification. The author choose six languages (Arabia, Chinese, English, Hindi, Thailand and Korean) to demonstrate the potential of the technology. Experimental results show that the propose method has less number of features and is more effective in script identification than the traditional wavelet energy and ratio method and histogram signatures algorithm.

关键词： script identification wavelet transform texture feature wavelet energy co-occurrence histogram

作者: Zhou, L. Ping, X.J. Zheng, E.G. Guo, L.

作者单位: Zhengzhou Information Science and Technology Institute, Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 980-983

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）