Research on Cigarette Carton Rechecking Technology Based on Morphological Processing Algorithms
- 10.2991/ameii-15.2015.248How to use a DOI?
- One-dimension barcode extraction; morphological processing; sub-region screening; projection; cigarette carton recognition
This paper puts forward a method for automatic recognition of images on cigarette cartons taking advantage of the uniqueness of the barcode on the carton. It is to solve the mismatch problem between the traditional way of manual rechecking and the high-speed automatic sorting system. Based on the square adaptive morphological structure element algorithm, it deals with monochrome images to reduce the interference caused by blank structures within the barcode to the connected domain, so as to attain multiple candidate connected sub-regions. By screening sub-regions, it positions the barcode area. Then, it locates human-readable characters, and cuts out digital items by projection. At last, barcode digits are recognized, and the recognition is done. Experiment results show that this method is effective in removing the interference caused by characters and images on cigarette cartons as well as by illumination noises.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xi Chen AU - Linzi Shan PY - 2015/04 DA - 2015/04 TI - Research on Cigarette Carton Rechecking Technology Based on Morphological Processing Algorithms BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 1347 EP - 1351 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.248 DO - 10.2991/ameii-15.2015.248 ID - Chen2015/04 ER -