| Issue |
ITM Web Conf.
Volume 12, 2017
The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|
|
|---|---|---|
| Article Number | 04016 | |
| Number of page(s) | 6 | |
| Section | Session 4: Information Theory and Information Systems | |
| DOI | https://doi.org/10.1051/itmconf/20171204016 | |
| Published online | 05 September 2017 | |
Autonomous Recognition System for Barcode Detection in Complex Scenes
School of Mechanical Engineering Fuzhou University, Fuzhou, China
* chenpartydouble@163.com
** mebwhe@fzu.edu.cn
Linear barcode technology has been widely used in our common life, such as in logistics, retailed products and many other applications. Many researches and smart applications focus on how to decode the barcode so that it is difficult to locate precisely when the background becomes very complex. Moreover, many smart apps need human interaction to make sure the detected region is in a correct position of the screen. This paper presents an effective approach to locate the barcodes in real-time without manual disturbing. Basic morphological operations and Parallel Line Segment Detector (P-LSD) are applied to achieve the legal block of barcodes. Our method has been evaluated by a standard database and the experimental results show that our approach is more robuster than other earlier methods.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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