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Research on Individual Recognition System with Writing Pressure Based on Customized Neuro-template with Gaussian Function

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

Abstract

In our previous research, neuro-template matching method1 was proposed for currency recognition. In this paper, neuro-template with sigmoid as activation function is applied in the individual recognition system with writing pressure, and the experiment shows that this method is effective on the known pattern recognition, however it suffers from poor rejection capability for counterfeit signatures. To solve previous problem, Gaussian function is proposed as activation function of neuro-template and optimal parameters are customized for neuro-template of each registrant. The experiment shows that the customized neuro-template with Gaussian activation function is seemed to be very effective on improving the rejection capability of the system for counterfeit signatures with ensuring the recognition capability satisfied.

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References

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Author information

Authors and Affiliations

  1. Department of Intelligent Mechanical System, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-cyo, Kami-gun, Kochi, 782-8502, Japan

    Lina Mi

  2. Department of Intelligent Mechanical System, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-cyo, Kami-gun, Kochi, Japan

    Fumiaki Takeda

Authors
  1. Lina Mi
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  2. Fumiaki Takeda
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Mi, L., Takeda, F. (2005). Research on Individual Recognition System with Writing Pressure Based on Customized Neuro-template with Gaussian Function. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_36

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  • DOI: https://doi.org/10.1007/11552451_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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