Bar Code Recognition in Highly Distorted and Low Resolution Images
In this paper, we present a novel approach to detection of one dimensional bar code images. Our algorithm is particularly designed to recognize bar codes, where the image may be of low resolution, low quality or suffer from substantial blurring, de-focusing, non-uniform illumination, noise and color saturation. The algoritnni is accurate, fast, scalable and can be easily adjusted to search for a valid result within a specified time constraint. Our algorithm is particulary useful for real-time...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing|
|01_Shams_Bar_Code_Recognition_in_Highly_2007.pdf||239.25 kB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.