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A New Method to Extract Text from Natural Scenes 认领 引用
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作者 郝峻晟 戚飞虎 +1 位作者 朱凯华 蒋人杰 《Journal of Donghua University(English Edition)》 EI CAS 2005年第4期52-57,共6页
This paper presents a new method for text detection, location and binarization from natural scenes. Several morphological steps are used to detect the general position of the text, including English, Chinese and Japan... This paper presents a new method for text detection, location and binarization from natural scenes. Several morphological steps are used to detect the general position of the text, including English, Chinese and Japanese characters. Next bonnding boxes are processed by a new “Expand, Break and Merge” (EBM) method to get the precise text areas. Finally, text is binarized by a hybrid method based on Otsu and Niblack. This new approach can extract different kinds of text from complicated natural scenes. It is insensitive to noise, distortedness, and text orientation. It also has good performance on extracting texts in various sizes. 展开更多
关键词 Text Extraction mathematical morphology, bounding boxes , binarization
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