Abstract

Text Extraction is always a challenging problem in the field of research area. In this paper we developed an algorithm that can be used to extract text from images. We have studied texture feature analysis and also successfully retrieve the texture features embedded in an image. We also calculated number of characters in blurred images. Our algorithm is successfully implemented on many images that are collected from ICDAR Dataset 2011, ICDAR 2013, ICDAR 2003 and some images are collected from newspapers, and digital camera. We used different methods for texture feature extraction. Our algorithm gives more efficiency and extract texture features as compared with previous studies.

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