Morphological Reconstruction for Word Level Script Identification

Details Morphological Reconstruction for Word Level Script Identification Morphological Reconstruction for Word Level Script Identification

2011-06-25

arxiv.org/abs/1106.5156v2

International Journal of Computer Science and Security (IJCSS),Volume (1) : Issue (1), 41 - 51, 2007

Computer Science

Computer Vision and Pattern Recognition

11 Pages, 8 Figures,5 Tables; Revised: 15-06-2007,Published: 30-06-2007

Scientific paper

A line of a bilingual document page may contain text words in regional language and numerals in English. For Optical Character Recognition (OCR) of such a document page, it is necessary to identify different script forms before running an individual OCR system. In this paper, we have identified a tool of morphological opening by reconstruction of an image in different directions and regional descriptors for script identification at word level, based on the observation that every text has a distinct visual appearance. The proposed system is developed for three Indian major bilingual documents, Kannada, Telugu and Devnagari containing English numerals. The nearest neighbour and k-nearest neighbour algorithms are applied to classify new word images. The proposed algorithm is tested on 2625 words with various font styles and sizes. The results obtained are quite encouraging

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