Research on the License Plate Recognition based on MATLAB

被引:1
|
作者
Zhang, Xiaofeng [1 ]
Xu, Fengchang [1 ]
Su, Yan [1 ]
机构
[1] Nanchang Hangkong Univ, Sch Informat Engn, Nanchang 330063, Peoples R China
来源
CEIS 2011 | 2011年 / 15卷
关键词
gray-scale tensile; Log-Prewitt operator; self-adaptive median filter;
D O I
10.1016/j.proeng.2011.08.246
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The license plate image pre-processing which aims to improve the image quality and protrude the outstanding information that we need, which is favourable to the subsequent processing including character segmentation and positioning, character recognition, is significant in the license plate recognition system. First of all, we convert the colour image obtained into a gray-scale image by using histogram equalization, then get rid of the noise through self-adaptive median filter to improve the image quality, and the gray-scale image is stretched to enhance the image contrast. Above all, image is sharpened by using Log-Prewitt operator which does not aim at light intensity directly, but light strong logarithm (light density). to enhance the edge information of the image. It is a new method of Prewitt edge detection with detection boundary area. With light intensity irrelevant, anti-jamming is strong, processing speed is quick and it is suitable for online detection. The experiment results show that the pre-processing method is perfect.
引用
收藏
页数:5
相关论文
共 50 条
  • [41] Effects of License Plate Attributes on Automatic License Plate Recognition
    Findley, Daniel J.
    Cunningham, Christopher M.
    Chang, Jeffrey C.
    Hovey, Kyle A.
    Corwin, Michael A.
    TRANSPORTATION RESEARCH RECORD, 2013, (2327) : 34 - 44
  • [42] Extraction of License Plate Region in License Plate Recognition System
    Ning, Yuan
    Liu, YaoWen
    Zhang, Yanbin
    Yuan, Hao
    MACHINERY ELECTRONICS AND CONTROL ENGINEERING III, 2014, 441 : 655 - 659
  • [43] The Research of Vehicle License Plate Character Recognition Method Based on Artificial Neural Network
    Feng, Jianlan
    Li, Yuping
    Chen, Mianzhou
    2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 2, 2010, : 317 - 320
  • [44] Research on License Plate Recognition Method Based on LPRNet and Improved YOLOv8
    Wang, Pengfei
    Long, Chuntian
    Quan, Ying
    Jin, Xin
    Du, Mingjuan
    Wang, Lijun
    39TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION, YAC 2024, 2024, : 1819 - 1824
  • [45] Research on License Plate Character Recognition Technology Based on Image Processing and Deep Learning
    Chen, Chun
    Zhong, Xiaolei
    2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA), 2022, : 1098 - 1102
  • [46] Research and implementation of an improved Radon transform for license plate recognition
    Xing, Jianju
    Li, Jun
    Xie, Zanfu
    Liao, Xiuxiu
    Zeng, Wen
    2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 1, 2016, : 42 - 45
  • [47] Research on License Plate Recognition using Digital Image Processing
    Saraswathi, S.
    Subban, Ravi
    Shanmugasundari, T.
    Manogari, S.
    2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2017, : 981 - 986
  • [48] Research on vehicle license plate recognition technology based on deep convolutional neural networks
    Ma, Lixin
    Zhang, Yong
    MICROPROCESSORS AND MICROSYSTEMS, 2021, 82
  • [49] Research and Realization of Improved Pattern Matching in License Plate Recognition
    Wang, Ping
    Zhang, Wei
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS, 2008, : 1089 - 1092
  • [50] Research on License Plate Image Segmentation and Intelligent Character Recognition
    Huang, Jianping
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 34 (06)