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IDENTIFICATION AND SEGMENTATION OF TOUCHING BRAHMI CHARACTERS FROM DEGRADED DIGITAL ESTAMPAGE IMAGES USING ENSEMBLE CLASSIFIER

Professor, Dr. Vishwanath Karad, MIT World Peace University, Pune India; Department of Computer Science, Savitribai Phule Pune University, Pune 411007, India shankar.mali@mitwpu.edu.in; shankarmali007@gmail.com Abstract Brahmi script is an ancient Indian script that requires expertise to read the written documents. OCR system can help reading and understanding the documents of Brahmi script. In the OCR systems, to recognize the symbols, accurate segmentation in earlier phase is required. If the segmentation goes wrong, it indicates the failure of the recognition process. Identification and segmentation of touching characters is a challenging task in OCR systems. In this paper, the authors have proposed an algorithm which successfully identifies and segments the touching characters from the Brahmi script documents. The algorithm uses ensemble classification technique to identify the touching characters using 9 unique features. The proposed algorithm has achieved 100% accuracy in identification and 99.16% accuracy in segmentation of touching Brahmi script characters. The results of proposed algorithm are significant to identify and correctly segment the touching Brahmi script characters from degraded digital estampage images.