Fuzzy direction pre-classification based feature extraction using Gabor wavelet transformation

摘要：

Text image from natural scene is usually low quality because of tilt or low resolution.which causes character recognition degraded. In this paper, a novel method of feature extraction based on fuzzy direction pre-classified is presented that makes use the direction selectivity of Gabor filters. The direction pre-classification of character strokes makes the selection of the direction more accurate. Experimental results show the method adjust to tbe text deformation.

关键词： fuzzy direction pre-classification gabor wavelet feature extraction

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 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 270-273

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）