@inproceedings{ccc862ac6bda4f8789c885bc6239bb1b,
title = "High-speed barcode recognition system based on OpenCV and Zbar",
abstract = "In recent years, the logistics industry has developed rapidly and many goods arriving at warehouse are clued for unloading.In order to reduce the occurrence of this phenomenon, it is an effective way to speed up the circulation speed of express delivery at freight stations and reduce goods information acquisition time. This paper proposes a high speed barcode recognition system and the choice of double gradient direction gradient difference and the adaptive threshold according to light intensity are added to this system. The overall development environment is under the Ubuntu system, mainly using OpenCV and Zbar. This system enables barcodes to be recognized accurately at a high speed. In the experiments, we use barcodes provided from SF Express and find that barcodes can be accurately recognized at 3m/s regardless of barcodes placement at any angle. This verifies the effectiveness of the system.",
keywords = "Adaptive threshold, Barcode recognition, High speed",
author = "Yonghui Xu and Zhiyong Qu and Shutao Zheng",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 11th International Conference on Digital Image Processing, ICDIP 2019 ; Conference date: 10-05-2019 Through 13-05-2019",
year = "2019",
doi = "10.1117/12.2539756",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jenq-Neng Hwang and Xudong Jiang",
booktitle = "Eleventh International Conference on Digital Image Processing, ICDIP 2019",
address = "美国",
}