Skip to main content
SpringerLink
Log in

Setting Shape Rules for Handprinted Character Recognition

  • Conference paper
Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7197))

Included in the following conference series:

Abstract

This work shows how to set shape rules and convert them into logical rules to skip incorrect templates and reduce the number of candidate templates in the spatial topology distortion method [1]. The recognition rate is also improved by including shape constraints in the self-organizing process. This will drastically reduce the number of computations with improved recognition.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Liou, C.-Y., Yang, H.-C.: Handprinted Character Recognition Based on Spatial Topology Distance Measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence 18, 941–945 (1996)

    Article  Google Scholar 

  2. Burr, D.J.: Elastic Matching of Line Drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence 3, 708–713 (1981)

    Article  Google Scholar 

  3. Burr, D.J.: Designing a Handwriting Reader. IEEE Transactions on Pattern Analysis and Machine Intelligence 5, 554–559 (1983)

    Article  Google Scholar 

  4. Hinton, G.E., Williams, C.K.I., Revow, M.D.: Adaptive Elastic Models for Hand-Printed Character Recognition. In: Moody, J.E., Hanson, S.J., Lippmann, R.P. (eds.) Advances in Neural Information Processing Systems, pp. 512–519. Morgan Kaufmann (1992)

    Google Scholar 

  5. Daugman, J.G.: Complete Discrete 2-D Gabor Transforms by Neural Networks for Image Analysis and Compression. IEEE Transactions on Acoustics, Speech and Signal Processing 36, 1169–1179 (1988)

    Article  MATH  Google Scholar 

  6. Gabor, D.: Theory of Communication. Journal of the Institution of Electrical Engineers 93, 429–457 (1946)

    Google Scholar 

  7. Kohonen, T.: Self-organization and Associative Memory, 3rd edn. Springer, New York (1989)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University, Republic of China

    Daw-Ran Liou, Chia-Ching Lin & Cheng-Yuan Liou

Authors
  1. Daw-Ran Liou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chia-Ching Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cheng-Yuan Liou
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liou, DR., Lin, CC., Liou, CY. (2012). Setting Shape Rules for Handprinted Character Recognition. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28490-8_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28489-2

  • Online ISBN: 978-3-642-28490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation