A New Method to Extract Text from Natural Scenes  

作　　者：郝峻晟 戚飞虎 朱凯华 蒋人杰 

机构地区：[1]Computer Vision Lab, Computer Science Department, Shanghai Jiaotong University 200030

出　　处：《Journal of Donghua University(English Edition)》2005年第4期52-57,共6页东华大学学报（英文版）

摘　　要：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.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 bounding 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.

关 键 词：Text Extraction mathematical morphology  bounding boxes   binarization 

分 类 号：TP391.2[自动化与计算机技术—计算机应用技术]