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Text Segmentation from Image with Complex Background Based on Markov Random Fields

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2 Author(s)
Minhua Li ; Dept. of Electr. Eng. & Inf. Technol., Shandong Univ. of Sci. & Technol., Jinan, China ; Meng Bai

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.

Published in:

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on  (Volume:3 )

Date of Conference:

23-25 March 2012