A Survey on Odia Character Recognition
Pushpalata Pujari1, Babita Majhi2
1Pushpalata Pujari, Computer Science and Information Technology Department, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, India.
2Babita Majhi, Computer Science and Information Technology Department, Guru Ghasidas Vishwavidyalaya, Central University, Bilaspur, India.
Manuscript received on March 12, 2015. | Revised Manuscript received on March 13, 2015. | Manuscript published on March 25, 2015. | PP:15-25 | Volume-3 Issue-5, March 2015. | Retrieval Number: D0913023415
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recognition of Odia handwritten and machine characters and numerals is an emerging area of research and finds extensive applications in banks, offices and industries. Very little standard research work has been reported on recognition of handwritten and machine characters and numerals. This paper makes an in depth study on the existing literature on recognition of machine and handwritten Odia characters and numerals. The key steps [44] such as preprocessing, segmentation, feature extraction and classification involved in the recognition process of Odia characters are dealt in details. The well known techniques employed for segmentation, feature extraction and classification tasks of Odia characters are reviewed and their relative strengths and weaknesses are outlined. The paper also discusses the current trends and future research scope in the area of Odia character recognition. It is expected that this paper will be useful to those who will be interested to work in the fields of recognition of Odia characters.
Keywords: Preprocessing, Segmentation, Feature extraction, Classification, Post Processing