Chinese characters recognition in natural scenes based on DPM
基于DPM的自然场景下汉字识别方法

Chinese characters take on variable appearances in natural scenes, that makes some inevitable procedures in traditional detecting methods hard to carry on, such as the text location and text modification. In order to avoid such difficulties, this paper used DPM to detect Chinese characters in natural scenes. The method treated each character as an object class and trained the corresponding template. By using sliding windows, it traversed the detecting image to judge whether the image contained the target character. Experimental results show that the detecting effects of sole characters are satisfying and robust. As for the multi-stroke-characters, the effects aren't so obvious owing to the model's structural features.