Automatic segmentation of natural scene images based on chromatic and achromatic components
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Text extraction for spam-mail image filtering using a text color estimation technique
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
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Abstract: With the proposing of the concept of "Smart Camera", character recognition in natural scene images has become an interesting but difficult task nowadays. In this paper, we propose an algorithm for extracting characters from text regions of natural scene images with complex background. Our method first clusters the color feature vectors of the text regions into a number of color classes by applying a modified coarse-fine fuzzy c-Means algorithm. Then different slices are constructed according to these color classes. Characters are eventually extracted from the images using the information of segmentation and recognition. Experiments have shown that this method is a promising starting point for such applications.