Character Segmentation Of Degraded Odia Script

Authors

  • Ipsita Pattnaik CENTER for DEVELOPMENT of ADVANCED COMPUTING
  • Tushar Patnaik CDAC, Noida

DOI:

https://doi.org/10.24203/ajcis.v8i2.6097

Keywords:

ocr, Pre-processing, segmentation

Abstract

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.

Author Biography

Ipsita Pattnaik, CENTER for DEVELOPMENT of ADVANCED COMPUTING

Computer Science

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.

Published

2020-04-17

How to Cite

Pattnaik, I., & Patnaik, T. (2020). Character Segmentation Of Degraded Odia Script. Asian Journal of Computer and Information Systems, 8(2). https://doi.org/10.24203/ajcis.v8i2.6097

Issue

Section

Articles