A Survey of Feature Extraction and Classification Techniques Used In Character Recognition for Indian Scripts
Aditya Raj1, Ranjeet Srivastava2, Tushar Patnaik3, Bhupendra Kumar4
1Aditya Raj, M. Tech (CSE), Department of  CSE, C DAC, Noida, India.
2Ranjeet Srivastva, M. Tech (IT), Department of IT, C DAC, Noida, India.
3Tushar Patnaik, Sr. Lecturer, Sr. Project Engineer, Department of CSE, C DAC, Noida, India.
4Bhupendra Kumar, Sr. Technical Officer, Department of CSE, C DAC, Noida, India.
Manuscript received on January 29, 2013. | Revised Manuscript received on February 20, 2013. | Manuscript published on February 28, 2013. | PP: 567-569 | Volume-2 Issue-3, February 2013.  | Retrieval Number: C1205022313/2013©BEIESP

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© The Authors. 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: The Constitution of India has recognized 22 languages as official languages of India. Among these most of the recognition research work has been done for Devanagari, Gurumukhi, Telugu, and Bangla scripts etc. OCR system development for Indian script has many application areas like preserving manuscripts and ancient literatures written in different Indian scripts and making digital libraries for the documents. Feature extraction and classification are essential steps of character recognition process affecting the overall accuracy of the recognition system. This paper gives a detailed overview of different feature extraction and classification techniques for recognition process of different Indian scripts by the researchers over the past few decades.
Keywords: Optical Character Recognition (OCR), Feature Extraction, Classification.