Color-based clustering for text detection and extraction in image
Proceedings of the 15th international conference on Multimedia
Text detection in natural scene images with feature combination
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
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In this paper we describe a robust approach to segment text from color images. The proposed approach mainly includes four steps. Firstly, a preprocessing step is utilized to enhance text blocks in images; Secondly, these image blocks are split into connected components and most of them are eliminated by a component filtering procedure; Thirdly, the left connected components are merged into several text layers, and a set of appropriate constraints are applied to find the real text layer; finally, the text layer is refined through a post-processing step to generate a binary output. Our experimental results show that the proposed approach has a good performance in character recognition rate and processing speed. Moreover, it is robust to text color, font size, as well as different styles of characters in different languages.