Advertisement

Handwritten Bangla Digit Recognition Using Classifier Combination Through DS Technique

  • Subhadip Basu
  • Ram Sarkar
  • Nibaran Das
  • Mahantapas Kundu
  • Mita Nasipuri
  • Dipak Kumar Basu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)

Abstract

The work presents an application of Dempster-Shafer (DS) technique for combination of classification decisions obtained from two Multi Layer Perceptron (MLP) based classifiers for optical character recognition (OCR) of handwritten Bangla digits using two different feature sets. Bangla is the second most popular script in the Indian subcontinent and the fifth most popular language in the world. The two feature sets used for the work are so designed that they can supply complementary information, at least to some extent, about the classes of digit patterns to the MLP classifiers. On experimentation with a database of 6000 samples, the technique is found to improve recognition performances by a minimum of 1.2% and a maximum of 2.32% compared to the average recognition rate of the individual MLP classifiers after 3-fold cross validation of results. The overall recognition rate as observed for the same is 95.1% on average.

References

  1. 1.
    Ng, K.-C., Abramson, B.: Uncertainty management in expert systems. IEEE Expert, 29–48 (April 1990)Google Scholar
  2. 2.
    Bhattacharya, U., et al.: Recognition of hand printed Bangla numerals using neural network models. In: Pal, N.R., Sugeno, M. (eds.) AFSS 2002. LNCS (LNAI), vol. 2275, pp. 228–235. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Basu, S., et al.: A two pass approach to pattern classification. In: Proc 11th ICONIP (November 2004)Google Scholar
  4. 4.
    Basu, S., et al.: Handwritten ‘Bangla’ alphabet recognition using an MLP based classifier. In: Proc. 2nd NCCPB, Dhaka (February 2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Subhadip Basu
    • 1
  • Ram Sarkar
    • 2
  • Nibaran Das
    • 2
  • Mahantapas Kundu
    • 2
  • Mita Nasipuri
    • 2
  • Dipak Kumar Basu
    • 2
  1. 1.Computer Sc. & Engg. Dept.MCKV Institute of EngineeringLiluah, HowrahIndia
  2. 2.Computer Sc. & Engg. Dept.Jadavpur UniversityKolkataIndia

Personalised recommendations