Text Feature Extraction of Natural Scenes Using Gabor Wavelet Transformation Based on Scale Overlapping

摘要：

The features of scene text images determine the scene text low-quality. Existing method can not handle the issue. A method is proposed in the paper which makes use the frequency and direction selectivity of Gabor function and constructs a suitable wavelet transform to extract the feature of characters. And further the improved Gabor wavelet based on scale overlapping is proposed. The scale overlap reinforces the selection of Gabor filters to strokes width. Thus, a high robustness feature is obtained. The experiments show that the method is with good performance and is able to deal effectively with low-quality texts.

关键词： Scale overlapping Gabor wavelet transform Feature extraction Low-quality text

作者: Yin Fang Chen Deyun Wu Rui

作者单位: School of Computer Science and Technology,Harbin University of Science and Technology,Harbin China School of Computer Science and Technology. Harbin Institute of Technology,Harbin China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1062-1064

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）