| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 536895 | Pattern Recognition Letters | 2006 | 8 Pages |
Abstract
We present a novel approach to edge detection in bar code signals using a hidden Markov model (HMM). We also present an algorithm for selection of an optimal filter scale used in smoothing the data. Experimental results show that the proposed HMM is superior in performance compared with existing algorithms in commercial scanners.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
S. Krešić-Jurić, D. Madej, Fadil Santosa,