Abstract

With dust weather becomes more common, dusty images is increasing. The text regions in dusty images always exist some problems like blur, text features weakened or lost, low definition, low contrast which greatly affects to understanding the information from images. Text in images can have significant importance and useful information and hence the text recognition in images has becomes one of the important topic of intelligent information processing. There is a weakening of text feature in dusty image hence traditional algorithm can not be apply for text recognition in dusty images. To recognize the text from dusty image more efficient, introduce new method which has two modules. First, the dusty image is enhanced by enhancement algorithm and then text are detected and recognized in the enhanced image. This paper presents literature review of work on scene images text recognition in past few years. Their corresponding advantages and disadvantages and overviews on various text related application are also present.

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