Title :
Text Segmentation from Image with Complex Background Based on Markov Random Fields
Author :
Li, Minhua ; Bai, Meng
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Shandong Univ. of Sci. & Technol., Jinan, China
Abstract :
Text contained in images and video frames provide an important clue for content based images and video indexing. However, it is difficult to segment text from images with complex background. This paper proposes a new proposal for text segmentation from images with complex background based on Markov random field. Experimental results demonstrate the performance of the proposed method.
Keywords :
Markov processes; document image processing; image segmentation; indexing; random processes; text analysis; Markov random fields; complex background; content based images; text segmentation; video frames; video indexing; Computational modeling; Feature extraction; Image color analysis; Image segmentation; Markov random fields; Pattern recognition; Training; Markov random field; complex background; text segmentation;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.404
