文献类型：会议论文

英文题名：A Barcode Recognition Based on Multiform Algorithms

作者：Zhang, Yunfei[1];Lu, Bo[1];Su, Limin[1]

通讯作者：Su, LM[1]

机构：[1]Beijing Union Univ, Coll Informat, Being, Peoples R China

第一机构：北京联合大学智慧城市学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Informat, Being, Peoples R China.|[1141734]北京联合大学智慧城市学院;[11417]北京联合大学;

会议论文集：4th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)

会议日期：AUG 26-27, 2012

会议地点：Nanchang, PEOPLES R CHINA

语种：英文

外文关键词：barcode; SIFT algorithm; similar border; image matching

摘要：This paper takes EAN-13 barcode as an example to introduce multiform algorithms about automatic recognition. The algorithms consist of SIFT algorithm and the algorithm of optimized similar border distance measurement. Respective experimented on the same barcode, we got the result about the two algorithms. We acquired their characteristics and the fields which they are suited in. By experiment, all of them have high rate of recognition, low requirement for images and high calculating speed. So, they can meet the needs of responsiveness and automation well.