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Character Recognition Using Teaching Learning Based Optimization

  • Conference paper
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 327))

Abstract

Character recognition is an image analysis method, where handwritten images are given as input to a system and then the job of the system is to recognize them on the basis of information available about them. Pattern recognition capability of human beings cannot be imitated, however up to a certain extent it can be achieved by the use of neural network. In this paper an attempt is made to recognize English characters by the use of back propagation algorithm (BPA) as well as Teaching Learning Based Optimization (TLBO). TLBO is a recent algorithm used to solve many real world problems, which is inspired by practical environment of a class room, whereas Back Propagation algorithm is a generalization of Least Mean Square algorithm.

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Author information

Authors and Affiliations

  1. Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Stuti Sahoo, S. Balarama Murty & K. Murali Krishna

Authors
  1. Stuti Sahoo
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  2. S. Balarama Murty
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  3. K. Murali Krishna
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Corresponding author

Correspondence to Stuti Sahoo .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    Bhabendra Narayan Biswal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Department of Computer Science and Engineering, University of Kalyanai, Faculty of Engg., Tech. & Management, Kalyanai, West Bengal, India

    J.K. Mandal

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© 2015 Springer International Publishing Switzerland

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Sahoo, S., Murty, S.B., Krishna, K.M. (2015). Character Recognition Using Teaching Learning Based Optimization. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_83

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  • DOI: https://doi.org/10.1007/978-3-319-11933-5_83

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11932-8

  • Online ISBN: 978-3-319-11933-5

  • eBook Packages: EngineeringEngineering (R0)

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