A hidden Markov model-based character extraction method

Authors:
Songtao Huang;Majid Ahmadi;M. A. Sid-Ahmed
Affiliations:
Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue, Windsor, Ontario, Canada N9B 3P4;Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue, Windsor, Ontario, Canada N9B 3P4;Electrical and Computer Engineering, University of Windsor, Essex Hall 401 Sunset Avenue, Windsor, Ontario, Canada N9B 3P4
Venue:
Pattern Recognition
Year:
2008

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Abstract

In this paper a hidden Markov model (HMM)-based binarization algorithm is presented. This algorithm performs well for images with nonuniform background. To test the usefullness of the proposed technique some images of composite documents of printed characters were used. These characters were extracted through the proposed binarization algorithms and used in a commercial OCR. A comparative study of various binarization techniques is also presented.