A Text Extraction Method for Image with Complex Background Based on Conditional Random Field
LI Min-Hua1,2, WANG Chun-Heng1, XIAO Bai-Hua1, BAI-Meng2
1.Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing 100190 2.Department of Electrical and Information Engineering, Shandong University of Science and Technology Jinan, Jinan 250031
Abstract：Aiming at the problem of extracting text from images with complex background, a method based on conditional random field is proposed. The proposed method integrates various features and takes context information into account, thus it can extract text information effectively from images. The text extraction performance in different color spaces and with different features is compared. Experimental results demonstrate the validity of the proposed method.
李敏花，王春恒，肖柏华，柏猛. 一种基于条件随机场的复杂背景图像文本抽取方法*[J]. 模式识别与人工智能, 2009, 22(6): 827-832.
LI Min-Hua, WANG Chun-Heng, XIAO Bai-Hua, BAI-Meng. A Text Extraction Method for Image with Complex Background Based on Conditional Random Field. , 2009, 22(6): 827-832.
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2009, Vol. 22 
