Skip to main content
SpringerLink
Log in

A Generic Approach for the Vietnamese Handwritten and Speech Recognition Problems

  • Conference paper
  • First Online:
Developments in Applied Artificial Intelligence (IEA/AIE 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2358))

  • 1159 Accesses

Abstract

In this paper, we propose an approach based on HMM and linguistics for the Vietnamese recognition problem, including handwritten and speech recognition. The main contribution is that our method could be used to model all Vietnamese isolated words by a small number of HMMs. The method is not only used for handwritten recognition but also for speech recognition. Furthermore, it could be integrated with language models to improve the accuracy. Experimental results show that our approach is robust and considerable.

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 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. Hoang Phe, Syllable Dictionary, Danang publisher, Vietnam 1996. (In Vietnamese)

    Google Scholar 

  2. Vu Hai Quan et al, “A System for Recognizing Vietnamese Document Image Based on HMM and Linguistics”, Proc. Int., Conf. Document Analysis (ICDAR’01), pp 627–630 Seattle, USA, 2001.

    Google Scholar 

  3. Vu Hai Quan et al, “Models for Vietnamese Document Image Recognition”, ICISP2001, pp 484–491, Agadir, Marocco, 2001.

    Google Scholar 

  4. L. R Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition”, Proc. IEEE, 77(2), pp. 257–286, 1989.

    Article  Google Scholar 

  5. J.-I. Lee, J.-H. Kim and M. Nakajima, “A Hierarchical HMM Network-Based Approach for On-Line Recognition of Multilingual Cursive Handwrittings ”, IEICE Trans, E81-D(8), pp. 881–888, 1988.

    Google Scholar 

  6. H.-S. Park and S.-W. Lee, “A Truly 2-D Hidden Markov Model for Off-line Handwritten Character Recognition ”, Pattern Recognition, 31(12), pp. 1849–1864, 1998

    Article  MathSciNet  Google Scholar 

  7. Magdi A. Mohamed, Paul Gader, “Generalized Hidden Markov Models-Part II: Application to Handwritten Word Recognition”, “IEEE Transactions on Fuzzy System”, vol. 8(1), pp. 82–94, 2000.

    Article  Google Scholar 

  8. U. Marti and H. Bunke “Text Line Segmentation Based Word Recognition with Lexicon”, Proc. Int., Conf. Document Analysis (ICDAR’01), p Seattle, USA, 2001.

    Google Scholar 

  9. Didier Guillevic and Ching Y. Sen, “HMM Word Recognition Engine”, http://cenparmi.concordia.ca

  10. John Makhoul, Richard Schwartz, Christopher Lapre and Issam Bazzi, “A Script-Independent Methodology for Optical Character Recognition”, Pattern Recognition, 31(9), pp. 1285–1294, 1998.

    Article  Google Scholar 

  11. A. J. Elms and J. Illingworth “Modelling Polyfont Printed Characters with HMMs and a Shift Invariant Hamming Distance”, Proc. Int., Conf. Document Analysis.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Information Technology, University of HoChiMinh, Vietnam

    Vu Hai Quan, Pham Nam Trung, Nguyen Duc Hoang Ha, Lam Tri Tin & Hoang Kiem

  2. Digital Vision Lab, Northwestern Polytechnic University, CA, USA

    An H. Nguyen

Authors
  1. Vu Hai Quan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pham Nam Trung
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nguyen Duc Hoang Ha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lam Tri Tin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hoang Kiem
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. An H. Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Centre for Intelligent Systems and Complex Processes, Swinburne University of Technology, John Street, Hawthorn, Victoria, Australia, 3122

    Tim Hendtlass

  2. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666, USA

    Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Quan, V.H., Trung, P.N., Ha, N.D.H., Tin, L.T., Kiem, H., Nguyen, A.H. (2002). A Generic Approach for the Vietnamese Handwritten and Speech Recognition Problems. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_6

Download citation

  • DOI: https://doi.org/10.1007/3-540-48035-8_6

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43781-9

  • Online ISBN: 978-3-540-48035-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation