IJSRSET calls volunteers interested to contribute towards the scientific development in the field of Science, Engineering and Technology

Home > IJSRSET184211                                                     


Design and Implementation of OCR to identify English Characters and Numbers

Authors(3):

Rachit Adhvaryu, Rachana Parikh, Komil Vora
  • Abstract
  • Authors
  • Keywords
  • References
  • Details
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.

Rachit Adhvaryu, Rachana Parikh, Komil Vora

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 Print ISSN Online ISSN
2018-01-20 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
57-62 IJSRSET184211   Technoscience Academy

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.
URL : http://ijsrset.com/IJSRSET184211.php