Research on the License Plate Recognition Based on Image Processing

被引：4

作者：

Lan, Chaofeng ^{[1
,2
]}

Li, Fengchen ^{[2
]}

Jin, Yingjian ^{[1
]}

Sui, Xuemei ^{[1
]}

Kang, Shouqiang ^{[1
]}

Zhang, Liping ^{[3
]}

机构：

[1] Harbin Univ Sci & Technol, Sch Elect & Elect Engn, Harbin 150080, Peoples R China

[2] Harbin Inst Technol, Energy Sci & Engn, Harbin 150001, Peoples R China

[3] SonoScape Co Ltd, Shenzhen, Peoples R China

来源：

2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2015年

关键词：

edge detection; Canny operator; morphology; projection segmentation; template matching; character recognition;

D O I：

10.1109/IMCCC.2015.160

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to enhance the effects of license plate recognition in intellectual transport domain, this article carries out positioning, partitioning and characteristics extracting on license plate images that have been collected, so as to realize the function of license plate character recognizing. In order to boost the contrast on a license plate and to reduce noises, methods of gray degree reinforcing and filtering treating are adopted to carry out gray degree transformation; in order to accurately position the location of license plate characters, adopt Ostu algorithm to work out global threshold value, extract image edges, and make a second positioning on the license plate with projection method, thus a binary license plate image can be acquired; partition characters according to peak-group characteristics of vertical projecting figures, and adopt improved template-matching algorithm to realize accurate and efficient license plate recognizing. The research findings of this article have important theoretical values and practical application significance.

引用

页码：730 / 733

页数：4

共 7 条

[1]

Ercelebi E., 2005, ENG TECHNOLOGY, P150

[2]

Khalifa OO, 2007, Int Arab J Inf Technol, V4, P359

[3]

Ko MA, 2004, 32ND APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP, PROCEEDINGS, P269

[4]

Mohades Kasaei S.H., 2009, AM J APPL SCI, V6, P66

[5]

Rastegar S., 2009, INT J IMAGE PROCESSI, V2009, P12

[6]

Woods Richard E., 2003, DIGITAL IMAGE PROCES, P41

[7] Extraction and tracking of the license plate using hough transform and voted block matching [J].

Yanamura, Y ;

Goto, M ;

Nishiyama, D ;

Soga, M ;

Nakatani, H ;

Saji, H .

IEEE IV2003: INTELLIGENT VEHICLES SYMPOSIUM, PROCEEDINGS, 2003, :243-246

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