IDENTIFICATION OF DEVANAGARI SCRIPT FROM IMAGE DOCUMENT

Texts that appear in the image contain useful and important information. Optical Character Recognition technology is restricted to finding text printed against clean backgrounds, and cannot handle text printed against shaded or textured backgrounds or embedded in images. It is necessary to extract the text form image which is helpful in a society for a blind and visually impaired person when voice synthesizer is attached with the system. In this paper, we present a methodology for extracting text from printed image document and then identified Devanagari Script (Hindi language) from extracted text. Firstly we used Morphological Approach for extracting the text from image documents. The resultant text image is passed to Optical Character Recognition for Identification purpose. Projection profile is used for segmentation followed by Visual Discriminating approach for feature extraction. Finally for classification purpose Heuristic search is used. The result of proposed method for text extraction is compared with edge based and connected component with projection profile approach. After comparison using precision and recall rate it is observed that proposed algorithm work well.

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