Optical Character Recognition of Printed Text in Devanagari using Neuro – Fuzzy Integrated System
Ankush A. Mohod1, Nilesh N. Kasat2
1Ankush A. Mohod, Department of Electronics & Telecommunication Engineering, Sipna College of Engineering & Technology, Amravati (Maharashtra), India.
2Prof. Nilesh N. Kasat, Department of Electronics & Telecommunication Engineering, Sipna College of Engineering & Technology, Amravati (Maharashtra), India.
Manuscript received on 8 December 2013 | Revised Manuscript received on 18 December 2013 | Manuscript Published on 30 December 2013 | PP: 53-56 | Volume-3 Issue-7, December 2013 | Retrieval Number: G1384123713/13©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: In this paper, we deal with the recognition of printed Devanagari characters using Neuro-fuzzy integrated system. The paper shows measurement of the effectiveness of classifier in terms of precision in recognition. An attempt is made to adopt Neuro-fuzzy integrated system for classification purpose. In this paper, we have considered sample test image and the characters in the test image are recognized relative to the database created by the user using Neuro-fuzzy integrated system.
Keywords: Character Recognition, Printed Devanagari Text, Histogram, GLCM.
Scope of the Article: Fuzzy Logics