A Recognition-based Method for Segmentation of Chinese Character in Images and Videos
To precisely segment Chinese characters in images and videos, we propose a novel recognition-based method in this paper. Our method consists of four steps: 1) Original text image is binarized to get a binary image; 2) Use a horizontal projection profile of the binary image to estimate the width of the bounding box of Chinese character; 3) Combined with character recognizer, use a vertical projection profile to adoptively find vertical cutting positions; 4) Shortest-path searching method is adopted to find nonlinear cutting paths to remove noise components in the segments. Experimental results demonstrate the effectiveness of the proposed method in comparison with other related work in the literature.
Wuyi Yang Shuwu Zhang Haibo Zheng Zhi Zeng
Digital Content Technology Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
723-728
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）