Combination of dynamic Bayesian network classifiers for the recognition of degraded characters

Laurence Likforman-Sulem; Marc Sigelle

doi:10.1117/12.805471

19 January 2009 Combination of dynamic Bayesian network classifiers for the recognition of degraded characters

Proceedings Volume 7247, Document Recognition and Retrieval XVI; 72470H (2009) https://doi.org/10.1117/12.805471
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

We investigate in this paper the combination of DBN (Dynamic Bayesian Network) classifiers, either independent or coupled, for the recognition of degraded characters. The independent classifiers are a vertical HMM and a horizontal HMM whose observable outputs are the image columns and the image rows respectively. The coupled classifiers, presented in a previous study, associate the vertical and horizontal observation streams into single DBNs. The scores of the independent and coupled classifiers are then combined linearly at the decision level. We compare the different classifiers -independent, coupled or linearly combined- on two tasks: the recognition of artificially degraded handwritten digits and the recognition of real degraded old printed characters. Our results show that coupled DBNs perform better on degraded characters than the linear combination of independent HMM scores. Our results also show that the best classifier is obtained by linearly combining the scores of the best coupled DBN and the best independent HMM.

Citation Download Citation

Laurence Likforman-Sulem and Marc Sigelle "Combination of dynamic Bayesian network classifiers for the recognition of degraded characters", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470H (19 January 2009); https://doi.org/10.1117/12.805471

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available