Skip to main content

Recognition of English Business Cards Using Enhanced Hybrid Network

  • Conference paper
Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

Included in the following conference series:

Abstract

In this paper, we proposed a novel method for the recognition of English business cards by using the projection method and the enhanced hybrid network. The recognition of business cards consists of the extraction phase of character areas and the recognition phase of extracted characters. In the extraction phase, first of all, noises are removed from the images of business cards, and the feature areas including character strings are separated from the business card images by using the horizontal smearing method and the 8-directional contour tracking method. And using the image projection method, the feature areas are split into the areas of individual characters. We also proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 neural network adjusting the vigilance threshold dynamically according to the homogeneity between patterns. In the recognition phase, the proposed neural network is applied to recognize individual characters. Our experiment result showed that the proposed recognition algorithm has higher success rate of recognition and faster learning time than the conventional neural network based recognition.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Kim, K.B., Kim, C.K., Kim, J.W.: A Study on the Recognition of an English Calling Card by Using Contour Tracking Algorithm and Enhanced ART1. Journal of Korea Intelligent Information Systems 8, 105–116 (2002)

    Google Scholar 

  2. Gonzalez, R.C., Wintz, P.: Digital Image Processing, pp. 88–102. Addison-Wesley Publishing Company Inc., Reading (1977)

    MATH  Google Scholar 

  3. Sik, W.N., Koo, S.Y.: A Parallel Thinning Algorithm by the 8-Neighbors Connectivity Value. Transactions of The Korea Information Processing 2, 701–710 (1995)

    Google Scholar 

  4. Panchapakesan, C., Ralph, D., Palaniswami, M.: Effects of Moving the Centers in an RBF Network. In: Proceedings of IJCNN, vol. 2, pp. 1256–1260 (1998)

    Google Scholar 

  5. Kim, K.B., Kim, Y.J., Oh, A.S.: An Intelligent System for Passport Recognition Using Enhanced RBF Network. Lecture Notes in Computer Science. In: Zhang, J., He, J.-H., Fu, Y. (eds.) CIS 2004. LNCS, vol. 3314, pp. 762–767. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  6. Kim, K.B., Park, C.S.: An Enhanced Fuzzy Multilayer Perceptron. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds.) ICONIP 2004. LNCS, vol. 3316, pp. 977–982. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Zimmermann, H.J.: Fuzzy set Theory and It’s Applications. Kluwer Academic Publishers, Dordrecht (1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, K., Cho, J., Oh, A. (2005). Recognition of English Business Cards Using Enhanced Hybrid Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_33

Download citation

  • DOI: https://doi.org/10.1007/11427445_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics