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A complete system for preprocessing and word spotting of very old historical document images is presented. Document images are processed for extraction of salient information using a word spotting technique which does not need line and word segmentation and is language independent.A multi-class library of connected components of document text is created based on six features. The spotting is performed...
Text information in a natural scene is very useful and important for understanding images. Detection and extraction of text information in such natural images have been used in many applications. Many conditions of natural scene make the problem of text segmentation quite intractable. In this paper, an effective method for the segmentation and binarization of Korean texts from signboard images is...
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