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Reseach Article

Survey on Offline Character Recognition for Handwritten Gujarati Text

by Bhumika B. Patel, Hinaxi M. Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 6
Year of Publication: 2017
Authors: Bhumika B. Patel, Hinaxi M. Patel
10.5120/ijca2017915781

Bhumika B. Patel, Hinaxi M. Patel . Survey on Offline Character Recognition for Handwritten Gujarati Text. International Journal of Computer Applications. 177, 6 ( Nov 2017), 30-33. DOI=10.5120/ijca2017915781

@article{ 10.5120/ijca2017915781,
author = { Bhumika B. Patel, Hinaxi M. Patel },
title = { Survey on Offline Character Recognition for Handwritten Gujarati Text },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 177 },
number = { 6 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number6/28632-2017915781/ },
doi = { 10.5120/ijca2017915781 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:45:09.788705+05:30
%A Bhumika B. Patel
%A Hinaxi M. Patel
%T Survey on Offline Character Recognition for Handwritten Gujarati Text
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 6
%P 30-33
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Handwritten character recognition (HCR) is one of the most interesting topics in image processing and pattern recognition. Handwritten Character Recognition is not a difficult task for humans, but for a machine it’s really tough. In Handwritten Character Recognition method the input is scanned from images, documents and real time devices like tablets, computers and digitizers etc. which are then interpreted into digital text. There are basically two approaches - Online Handwritten recognition which takes the input at run time and Offline Handwritten Recognition which works on scanned images. Offline handwritten character recognition is a process where the computer understands automatically the image of handwritten script. Several applications are used HCR like mail sorting, bank processing and document reading, etc. Offline handwriting recognition is comparatively difficult, as different people have different handwriting style. This research is confined within offline character recognition only. Gujarati is the name of script used to write the Gujarati language and spoken by the people in state Gujarat in India.

References
  1. K. S. Siddharth, M. Jangid, R. Dhir, and R. Rani, “Handwritten Gurmukhi Character Recognition Using Statistical and Background Directional Distribution Features,” vol. 3, no. 6, pp. 2332–2345, 2011.
  2. M. V. Beigi, “Handwritten Character Recognition Using BP NN , LAMSTAR NN and SVM,” 2015.
  3. S. G. Trivedi and A. Nandurbarkar, “Offline Handwritten Character Recognition for Gujarati Language,” no. May, pp. 136–139, 2017.
  4. S. J. Macwan, “Classification of Offline Gujarati Handwritten Characters,” pp. 1535–1541, 2015.
  5. G. Mehul, P. Ankita, D. Namrata, G. Rahul, and S. Sheth, “Text-Based Image Segmentation Methodology,” Procedia Technol., vol. 14, pp. 465–472, 2014.
  6. J. R. Prasad, “Image Normalization and Preprocessing for Gujarati Character Recognition,” vol. 3, no. 5, pp. 334–339, 2014.
  7. A. Sharma, P. Thakkar, D. M. Adhyaru, and T. H. Zaveri, “Features Fusion based Approach for Handwritten Gujarati Character Recognition,” vol. 5, 2016.
  8. N. Nur, B. Amir, and A. Hamid, “Handwritten Recognition Using SVM , KNN and Neural Network dependent and independent features of text in the process of.”
  9. D. Berchmans, “Optical Character Recognition?: An Overview and an Insight,” pp. 1361–1365, 2014.
  10. A. A. Desai, “Gujarati handwritten numeral optical character reorganization through neural network,” Pattern Recognit., vol. 43, no. 7, pp. 2582–2589, 2010.
  11. J. R. Prasad and U. V. Kulkarni, “Gujrati Character Recognition Using Adaptive Neuro Fuzzy Classifier,” 2014 Int. Conf. Electron. Syst. Signal Process. Comput. Technol., pp. 402–407, 2014.
  12. N. Mehta, “A Review of Handwritten Character Recognition,” vol. 165, no. 4, pp. 37–40, 2017.
Index Terms

Computer Science
Information Sciences

Keywords

Handwritten character recognition (HCR) Optical Character Recognition (OCR) Support Vector Machine (SVM).