Digital Image Processing Techniques in Character Recognition - A Survey

Authors(3) :-Dr. Marlapalli Krishna, Gunupusala Satyanarayana, V. Devi Satya Sri

The digital image processing (DIP) has been employed in a number of areas, particularly for feature extraction and to obtain patterns of digital images. Recognition of characters is a novel problem, and although, currently there are widely-available digital image processing algorithms and implementations that are able to detect characters from images, selection of an appropriate technique that can straightforwardly acclimatize to diverse types of images, that are very specific or complex is very important. This paper presents a brief overview of digital image processing techniques such as image restoration, image enhancements, and feature extraction, a framework for processing images and aims at presenting an adaptable digital image processing method for recognition of characters in digital images.

Authors and Affiliations

Dr. Marlapalli Krishna
Associate professor, Sir C. R. Reddy College of Engineering, Eluru, West Godavari Dt, Andhra Pradesh, India
Gunupusala Satyanarayana
Assistant Professor, Sir C. R. Reddy College of Engineering, Eluru, West Godavari Dt, Andhra Pradesh, India
V. Devi Satya Sri
M. Tech Student, Sir C. R. Reddy College of Engineering, Eluru, West Godavari Dt, Andhra Pradesh, India

Image Processing, Digital Image Processing, Thresholding, Morphological Thinning, Hough Transform, Character Recognition, Digital Image Processing

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 95-101
Manuscript Number : CSEIT172633
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. Marlapalli Krishna, Gunupusala Satyanarayana, V. Devi Satya Sri, "Digital Image Processing Techniques in Character Recognition - A Survey", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.95-101, November-December-2017.
Journal URL : http://ijsrcseit.com/CSEIT172633

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