Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
531439 | Pattern Recognition | 2008 | 11 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Songtao Huang, Majid Ahmadi, M.A. Sid-Ahmed,