Optical Character Recognition in Devnagri Script

Authors

  • Naeem Sunesara  Department of Information Technology, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Mumbai, Maharashtra, India
  • Tanmay Bane  Department of Information Technology, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Mumbai, Maharashtra, India
  • Dipesh Pawar  Department of Information Technology, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Mumbai, Maharashtra, India
  • Nikhil Saggam  Department of Information Technology, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Mumbai, Maharashtra, India

Keywords:

OCR, Preprocessing, Segmentation, Feature Extraction, Classification, Kohonen Algorithm

Abstract

This is the software which will recognize the characters from online or offline document (in image format) and use it as individual user profile. Here, the software OCR will recognize Devnagri characters. OCR is an Optical character recognition and is the mechanical or electronic translation of images of handwritten or typewritten text (usually captured by a scanner) into machine-editable text. OCR is a field of research in pattern recognition, Artificial Neural Networks and Kohonen Network.

References

  1. S. Morietal, "Historical Review of OCR Research and Development", Proceeding IEEE, 80, no 7, pp. 1029-1058, July 1992
  2. Sushree Sangita Patnaik and Anup Kumar Panda Particle Swarm Optimization and Bacterial Foraging Optimization Techniques for Optimal Current Harmonic Mitigation by Employing Active Power Filter Applied Computational Intelligence and Soft Computing Volume 2012, Article ID 897127.
  3. Dileep Kumar Patel, Tanmoy Som1, Sushil Kumar Yadav, Manoj Kumar Singh," Handwritten Character Recognition Using Multiresolution Technique and Euclidean Distance Metric" JSIP 2012, 208-214
  4. P. Wei Sch. of Electr. Inf., Zhongyuan Univ. of Technol., Zhengzhou, China Liang Zhang ; Changzheng Ma. "Fast median filtering algorithm based on FPGA median".
  5. P. Dreuw, G. Heigold, and H. Ney. "Confidence- and margin-based mmi / mpe discriminative training for offline handwriting recognition." Anal. Recognition, 14(3):273–288, Sept. 2011

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Naeem Sunesara, Tanmay Bane, Dipesh Pawar, Nikhil Saggam, " Optical Character Recognition in Devnagri Script, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.1075-1077, March-April-2017.