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We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set, which gives rise to accurate recognition are required. Texture based features are often used for target detection. It has been also shown that the shape of the intensity distribution is often useful for character extraction...
For an online handwriting recognition system equipped with a writer-independent classifier to progressively improve the recognition performance for a specific writer with an increase in his/her handwriting inputs, the following method is proposed: (1) for a handwriting pattern that causes a recognition error, a two-class classifier of the corresponding class is (re)constructed as a part of a writer-dependent...
With rapid increase of number of accessible images and videos, ability to recognize visual information is getting more and more important for content-based information retrieval. Recently, probabilistic topic models, which were originally developed for text analysis, have been used for image categorization successfully. Usually, ldquotopicsrdquo which represent contents of an image is detected based...
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