Recognition of Bilingual Segmented Characters (Gurmukhi and Roman)


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Abstract


Recognition of bilingual script in an image of a document page is of primary importanc e for a system processing bilingual document. In this paper two essential sub stages of recognition phase, feature extraction and classification has been discussed for segmented Gurmukhi and Roman characters. Two classifier schemes have been proposed for recognition of machine printed Bilingual characters. It has been found that structural and statistical features provide very good results. With both the classifiers a good accuracy is achieved for segmented Gurmukhi and Roman characters without preprocessing.
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Keywords


Bilingual Script; Neuro Fuzzy; Nearest Neighbor; Segmentation; Simplified Fuzzy

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