Steps Involved in Text Recognition and Recent Research in OCR; A Study
K. Karthick1, K.B. Ravindrakumar2, R. Francis3, S. Ilankannan4
1K. Karthick, Associate Professor, Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam.
2K.B. Ravindrakumar, Professor, Department of Electrical and Electronics Engineering, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi.
3R. Francis Assistant Professor, Department of Electrical Engineering, Annamalai University, Chidambaram.
4S. Ilankannan, Research Scholar, Department of Electrical Engineering, Annamalai University.
Manuscript received on 17 April 2019 | Revised Manuscript received on 24 May 2019 | Manuscript published on 30 May 2019 | PP: 3095-3100 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2670058119/19©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 Optical Character Recognition (OCR) is one of the automatic identification techniques that fulfill the automation needs in various applications. A machine can read the information present in natural scenes or other materials in any form with OCR. The typed and printed character recognition is uncomplicated due to its well-defined size and shape. The handwriting of individuals differs in the above aspects. So, the handwritten OCR system faces complexity to learn this difference to recognize a character. In this paper, we discussed the various stages in text recognition, handwritten OCR systems classification according to the text type, study on Chinese and Arabic text recognition as well as application oriented recent research in OCR.
Index Terms: Edge Detection, Optical Character Recognition, OCR, Preprocessing Stages, Text Recognition
Scope of the Article: Pattern Recognition