Design and Implementation of OCR to identify English Characters and Numbers

Authors(3) :-Rachit Adhvaryu, Rachana Parikh, Komil Vora

Optical character recognition has become one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. At present, there is great demand of such softwares which can identify the characters from scanned documents or images. Optical Character Recognition deals with the problem of recognizing optically processed characters. Optical recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are drawn. This paper presents the system which identifies characters from the images. The objective of this system prototype are to develop a prototype for the Optical Character Recognition (OCR) system and to implement the Template Matching algorithm in developing the system prototype.

Authors and Affiliations

Rachit Adhvaryu
Information Technology, V.V.P. Engineering College, Rajkot, Gujarat, India
Rachana Parikh
Information Technology, V.V.P. Engineering College, Rajkot, Gujarat, India
Komil Vora
Information Technology, V.V.P. Engineering College, Rajkot, Gujarat, India

OCR, Template Matching, Gray Scale Images, Color Images, Fixed Size Templates

  1. Maninder Kaur, "A Brief Review on Optical Character Recognition Techniques", International Journal of Computer Science and Mobile Computing, Vol.6 Issue.2, February-2017, pg. 95-100.
  2. A. Chaudhuri, "Optical Character Recognition Systems for Different
  3. Languages with Soft Computing", Studies in Fuzziness and Soft Computing 352, Springer International Publishing AG 2017.
  4. Chowdhury Md Mizan, Tridib Chakraborty and Suparna Karmakar, "Text Recognition using Image Processing", International Journal of Advanced Research in Computer Science, ISSN No. 0976-5697, Volume 8, No. 5, May-June 2017.
  5. Ashima Singh and Swapnil Desai, "Optical character recognition using template matching and back propagation algorithm", 2016 International Conference on Inventive Computation Technologies (ICICT)  Vol-3.
  6. M.  Shen, "Improving  OCR  Performance  with Background  Image  Elimination", 2015  12th  Int.  Conf. Fuzzy Syst. Knowl. Discov., pp. 1566-1570, 2015
  7. E.  N.  Bhatia, "Optical  Character  Recognition Techniques : A Review", IJARCSSE,  vol.  4,  no.  5,  pp. 1219-1223, 2014
  8. Kartar Singh Siddharth, Mahesh Jangid, Renu Dhir, Rajneesh Rani (2011), "Handwritten Gurmukhi Character Recognition Using Statistical and  Background Directional Distribution Features", International Journal on Computer Sceince and Engineering, Vol. 3(6), Pages 2332-2345.
  9. Kirill Safronov, Dr.-Ing. Igor Tchouchenkov, Dr.-Ing Heniz Worn (2007), "Optical Character Recognition Using Optimisation Algorithm", Workshop on Computer Science and Information Technology, Pages 1-5.
  10. Aparna Vara Lakshmi Vemuri, T.V.Sai Krishna, Atul Negi, "Dataset Generation for OCR" [OCR_Datasheet_Generation.pdf]
  11. Jesse Hansen, "A Matlab Project in Optical Character Recognition (OCR)".

Publication Details

Published in : Volume 4 | Issue 2 | January-February 2018
Date of Publication : 2018-01-20
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 57-62
Manuscript Number : IJSRSET184211
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Rachit Adhvaryu, Rachana Parikh, Komil Vora, " Design and Implementation of OCR to identify English Characters and Numbers, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.57-62, January-February-2018.
Journal URL : http://ijsrset.com/IJSRSET184211

Article Preview

Follow Us

Contact Us