An Adaptive Vehicle VIN Recognition System Based on Machine Vision

被引：0

作者：

Yi, Zijing ^{[1
]}

Yang, Luo ^{[1
]}

Liao, Yifei ^{[1
]}

Luo, Hao ^{[1
]}

Bai, Tian ^{[1
]}

机构：

[1] Sch Jilin Univ, Changchun 130012, Jilin, Peoples R China

来源：

2019 2ND INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, INDUSTRIAL MATERIALS AND INDUSTRIAL ELECTRONICS (MEIMIE 2019) | 2019年

关键词：

machine vision; management system; Nonlinear interference detection;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

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.

引用

页码：368 / 371

页数：4