A Hybrid approach for Optical Character Verification |
Author(s): |
HIRAL MODI , GEC, MODASA; MEHUL PARIKH, GEC MODASA; |
Keywords: |
Character, Pattern Matching, Character Recognition System, Image Segmentation, OCR, Preprocessing, Skew correction |
Abstract |
At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system. OCR (Optical Character Recognition) translates images of typewritten or handwritten characters into the electronically editable format and it preserves font properties. Where OCV (Optical Character Verification) is a hybrid approach of OCR and pattern matching. Different techniques for pre-processing and segmentation have been surveyed and discussed. Proposed methodology and the dataset are presented here. Intermediate results have shown in this paper. |
Other Details |
Paper ID: NCACSETT4P078 Published in: Conference 10 : NCACSET 2017 Publication Date: 06/05/2017 Page(s): 180-184 |
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