Natural Scene Text Location Oriented Chinese Environment

摘要：

Natural scene text location is the precondition of the text recognition, a fast and effective technique is proposed for text location oriented Chinese environment. First, the color edge of the image is detected in consideration of the stroke directions of Chinese characters, then the collection of candidate text blocks is obtained by post-processing; Second, because text differs from non-text in texture, local binary pattern (LBP) operator is employed to extract the texture feature of candidate text block, then feed them into SVM classifier for verification, thus a great number of non-text blocks are excluded, and a higher accuracy rate is obtained. Finally, the algorithm is tested on our database, which includes 1000 images, and experimental results show that the proposed algorithm works well and very robust under the conditions of uneven lighting, blurring, and low contrast etc.

关键词： Scene Text Location edge detection SVM LBP

作者: Liu Xiaopei Lu Zhaoyang Li Jing

作者单位: State Key Laboratory of Integrated Services Networks, Xi Dian University, 710071 School of Communica State Key Laboratory of Integrated Services Networks, Xi Dian University, 710071

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 575-580

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）