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An Innovative ANN Based Assamese Character Recognition System Configured with Radon Transform

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Wireless Networks and Computational Intelligence (ICIP 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 292))

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Abstract

Character Recognition is a process of understanding a human readable text document by machines and today many researchers in the academia and industry are interested in this direction. This paper describes a novel method of Character Recognition. The main objective of this is to use the ANN and Radon Transform to obtain a set of invariant features, on basis of which a character will be recognized.

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References

  1. Mozaffari, S., Faez, K., Ziaratban, M.: Character Representation and Recognition Using Quadtree-based Fractal Encoding Scheme. In: Proceedings of the 2005 Eight International Conference on Document Analysis and Recognition (ICDAR 2005), 1520-5263/05. IEEE (2005)

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Don Bosco College of Engineering and Technology, Guwahati, India

    Purnima Kumari Sharma, Mondira Deori, Balbindar Kaur, Chandralekha Dey & Karen Das

Authors
  1. Purnima Kumari Sharma
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  2. Mondira Deori
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  3. Balbindar Kaur
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  4. Chandralekha Dey
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  5. Karen Das
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, 560 001, Bangalore, India

    K. R. Venugopal

  2. Indian Institute of Science, Bangalore, India

    L. M. Patnaik

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© 2012 Springer-Verlag Berlin Heidelberg

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Sharma, P.K., Deori, M., Kaur, B., Dey, C., Das, K. (2012). An Innovative ANN Based Assamese Character Recognition System Configured with Radon Transform. In: Venugopal, K.R., Patnaik, L.M. (eds) Wireless Networks and Computational Intelligence. ICIP 2012. Communications in Computer and Information Science, vol 292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31686-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-31686-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31685-2

  • Online ISBN: 978-3-642-31686-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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