License Plate Extraction From Still Images

被引：4

作者：

Shahraki, Abdollah Amirkhani ^{[1
]}

Ghahnavieh, Amir Ebrahimi ^{[2
]}

Mirmahdavi, Seyyed Abdollah ^{[3
]}

机构：

[1] Iran Univ Sci & Technol, Dept Elect Engn, Tehran, Iran

[2] Amirkabir Univ Technol, Fac Elect Engn, Mobile Robots Res Lab, Tehran, Iran

[3] Shahrood Univ Technol, Elect & Robotic Engn, Shahrood, Iran

来源：

FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013) | 2013年

关键词：

license plate extraction; edge detection; morphology;

D O I：

10.1109/ISMS.2013.98

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

License plate extraction is an important stage in the vehicle license plate recognition for an automated transport system. This paper presents a novel and practical license plate extraction algorithm based on the edge statistics and the morphology. The proposed approach can be divided into four sections, which are vertical edge extraction, background curve and noise removing, edge statistical analysis and morphology-based license plate extraction. The proposed approach is designed to work in a wide range of acquisition conditions, including unrestricted scene environments, different camera-to-car distances, etc. Under the available database, the average accuracy of locating vehicle license plate is 84%.

引用

页码：45 / 48

页数：4

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