An Adaptive Vehicle VIN Recognition System Based on Machine Vision

摘要：

　　This paper presents a VIN(Vehicle Identification Number)recognition system based on machine vision.By capturing the VIN code on the car through the camera,the management system of unlicensed merchandise car garage is realized.The system achieves locally adaptive non-linear interference detection through improved threshold partition and morphological change pretreatment methods.Experiments show that the algorithm can be well adapted to dynamic environment and effectively improve the recognition accuracy.The algorithm fully considers the problems of backlighting and low illumination,and is simple in calculation and short in processing time.It is suitable for embedded devices with low computational speed.

关键词： machine vision management system Nonlinear interference detection

作者: Zijing Yi Luo Yang Yifei Liao Hao Luo Tian Bai

作者单位: School of Jilin University,Changchun 130012,China

会议类型: 国际会议

会议名称: 2019 2nd International Conference on Mechanical Engineering, Industrial Materials and Industrial Electronics (MEIMIE 2019)2019年第二届机械工程、工业材料和工业电子国际会议(Meimie 2019)

会议地点: 大连

会议语种:英文

页码: 368-371

在线出版日期: 2019-03-29（万方平台首次上网日期，不代表论文的发表时间）