A New Method to Extract Uighur Text Region in Images
In view of Uighur text characteristics being stable and its background being changeable and complex in Video Frames, the thought of target attention is used to solve the problem of detecting Uighur text region in image. First, a method of color reduction is adopted to remove color gradient of text region. Based on this, suspected Uighur character regions are selected out of images with complex background by features of Uighur character region(focused goal 1) , in the primaries, which are many small connected regions and are served as suspected samples. Second, a group of characters reflecting the relations (focused goal 2) between adjacent regions are extracted and one of characters is leading. Then every character information is combined into the leading character and a progressive cluster algorithm based on leading character is proposed. Finally, Uighur text regions in images are obtained with the aid of layer features (focused goal 3) of Uighur text region. Experiments show that the region of Uighurs scene text and caption text on complex background can be segmented successfully. The accuracy rate is 98％ and false alarm rate is lower than 14％.
Uighur text extraction Scene text extraction caption text extraction Progressive cluster Color image segmentation
Wang Ping Hou Jinyi Hu Linfang Halidan·A
Institute of Electrical Engineering and Automation of Tianjin University, Tianjin ,china Institute of Electrical Engineering of Xinjiang University Xinjiang, china
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1149-1153
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）