A Barcode Recognition Based on Multiform Algorithms

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.

关键词： barcode SIFT algorithm similar border image matching

作者: Yunfei Zhang Bo Lu Limin Su

作者单位: College of Information Beijing Union University Being, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 377-380

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）