Character Segmentation Of Degraded Odia Script
DOI:
https://doi.org/10.24203/ajcis.v8i2.6097Keywords:
ocr, Pre-processing, segmentationAbstract
Optical Character Recognition (OCR) is a field which converts printed text into computer understandable format that is editable in nature. Odia is a regional language used in Odisha, West Bengal & Jharkhand. It is used by over forty million people and still counting. With such large dependency on a language makes it important, to preserve its script, get a digital editable version of odia script. We propose a framework that takes computer printed odia script image as an input & gives a computer readable & user editable format of same, which eventually recognizes the characters printed in input image. The system uses various techniques to improve the image & perform Line segmentation followed by word segmentation & finally character segmentation using horizontal & vertical projection profile.
References
Prof. Amit Choksi1 , Kajal Kumari , Shivani Kanojiya , Pragya Sahu, Nishtha Rindani, “Hindi Optical Character Recognition For Printed Documents Using Fuzzy K-Nearest Neighbor Algorithm: A Problem Approach In Character Segmentationâ€, IOSR Journal of VLSI and Signal Processing (IOSR-JVSP), Jan.-Feb. 2018.
Pushpalata Pujari, Babita Majhi, â€A survey on odia character recognitionâ€, International Journal of Emerging Science and Engineering (IJESE), February 2015.
Ajay P. Singh and Ashwin Kumar Kushwaha, â€Analysis of Segmentation Methods for Brahmi Scriptâ€, DESIDOC Journal of Library & Information Technology, March 2019.
SK Alamgir Hossain, Tamanna Tabassum, â€Neural net based complete character recognition scheme for Bangla printed text booksâ€, 16th Int'l Conf. Computer and Information Technology, 8-10 March 2014.
J.Pradeep, E.Srinivasan, S.Himavathi, â€Neural Network based Handwritten Character Recognition system without feature extractionâ€, International Conference on Computer, Communication and Electrical Technology – ICCCET 2011, 18th & 19th March, 2011.
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