Skip to main content
SpringerLink
Log in

Recognition System for Handwritten Letters Simulating Visual Nervous System

  • Chapter
Pattern Recognition and Machine Learning

Abstract

Human beings and animals have excellent pattern recognition faculties. However, there are many difficulties when this task is to be performed by information processing equipment. Therefore, a recognition system constructed to have characteristics of the visual nervous system could possibly be applied to the recognition of letters and figures. In this paper, composition of a recognition system by simulating the visual nervous system is discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. H. K. Hartline and F. Ratliff, “Spatial Summation of Inhibitory Influence in the Eye of Limulus, and the Mutual Interaction of Receptor Units”, J. Gen. Physiol., 41, p. 1049 (1958).

    Article  CAS  Google Scholar 

  2. S. W. Ruffler, “Discharge Patterns and Functional Organization of Mammalian Retina”, J. Neurophysiol., 16, p. 37 (1953).

    Google Scholar 

  3. D. H. Hubel and T. N. Wiesel, “Receptive Field and Functional Archetecture in the Non-striate Visual Areas (l8 and 19) of the Cat”, J. Neurophysiol., 28, 2, p. 229 (1965).

    CAS  Google Scholar 

  4. T. Morita and R. Fujii, “Function of Lateral Inhibition in Pattern Recognition Process of Biological Systems”, C.E.J., 49, 10, p. 45 (1966).

    Google Scholar 

  5. R. Fujii, A. Matsuoka and T. Morita, “Analysis of the Optical Illusion by Lateral Inhibition”, Tech. Report of Osaka Univ., 17, p. 445 (1967).

    Google Scholar 

  6. T. Morita and R. Fujii, “Recognition System for Handwritten Letters Simulating Visual Nervous System”, C.E.J., 52, 7, p. 100 (1969).

    Google Scholar 

  7. N. J. Nilsson, Learning Machines: Function of Trainable Pattern Classifying Systems, McGraw Hill, N.Y. (1965).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Osaka University, Osaka, Japan

    Katsuhiko Fujii & Tatsuya Morita

Authors
  1. Katsuhiko Fujii
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tatsuya Morita
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Electrical Engineering, Purdue University, Lafayette, Indiana, USA

    K. S. Fu

Rights and permissions

Reprints and permissions

Copyright information

© 1971 Plenum Press, New York

About this chapter

Cite this chapter

Fujii, K., Morita, T. (1971). Recognition System for Handwritten Letters Simulating Visual Nervous System. In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-7566-5_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-7568-9

  • Online ISBN: 978-1-4615-7566-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation