research-article

License Plate Detection Based on Convolutional Neural Network: Support Vector Machine (CNN-SVM)

Authors:

Gamma Kosala,

Agus Harjoko,

Sri HartatiAuthors Info & Claims

ICVIP '17: Proceedings of the International Conference on Video and Image Processing

Pages 1 - 5

https://doi.org/10.1145/3177404.3177436

Published: 27 December 2017 Publication History

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Abstract

Automatic License Plate Recognition (ALPR) implementation can be used in many applications, such as road traffic monitoring, automatic toll payments, and parking management. License plate detection is the first and very critical stage in the ALPR system. Locating the license plate in the image becomes more difficult in the complex backgrounds such as the highways. This research develops the plate detection method in a complex environment in two stages: plate candidate extraction, and plate area selection. We use Sobel operator for vertical edge detection, closing morphological operation, and Connected Component Analysis (CCA) for contour detection in plate candidate extraction stage. Plate area selection is implemented by using Convolutional Neural Network -- Support Vector Machine (CNN - SVM). CNN acts as feature extraction method whereas SVM as a classifier. Compared to some other machine learning architecture, CNN-SVM reached the highest accuracy by 93%.

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Tu FWei MLiu JLiao L(2023)An adaptive weighting multimodal fusion classification system for steel plate surface defectJournal of Intelligent & Fuzzy Systems10.3233/JIFS-23017045:2(3501-3512)Online publication date: 1-Aug-2023
https://doi.org/10.3233/JIFS-230170
Setyoko DEdi Wibowo MSumiharto R(2023)Key-point based license plate detection using fully convolutional neural networksTHE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 202110.1063/5.0136296(020012)Online publication date: 2023
https://doi.org/10.1063/5.0136296
Zhang JLi YLi TXun LShan C(2019)License Plate Localization in Unconstrained Scenes Using a Two-Stage CNN-RNNIEEE Sensors Journal10.1109/JSEN.2019.290025719:13(5256-5265)Online publication date: 1-Jul-2019
https://doi.org/10.1109/JSEN.2019.2900257

Index Terms

License Plate Detection Based on Convolutional Neural Network: Support Vector Machine (CNN-SVM)
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Object detection

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Published In

ICVIP '17: Proceedings of the International Conference on Video and Image Processing

December 2017

272 pages

ISBN:9781450353830

DOI:10.1145/3177404

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Nanyang Technological University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2017

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ICVIP 2017: International Conference on Video and Image Processing

December 27 - 29, 2017

Singapore, Singapore

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Cited By

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Tu FWei MLiu JLiao L(2023)An adaptive weighting multimodal fusion classification system for steel plate surface defectJournal of Intelligent & Fuzzy Systems10.3233/JIFS-23017045:2(3501-3512)Online publication date: 1-Aug-2023
https://doi.org/10.3233/JIFS-230170
Setyoko DEdi Wibowo MSumiharto R(2023)Key-point based license plate detection using fully convolutional neural networksTHE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 202110.1063/5.0136296(020012)Online publication date: 2023
https://doi.org/10.1063/5.0136296
Zhang JLi YLi TXun LShan C(2019)License Plate Localization in Unconstrained Scenes Using a Two-Stage CNN-RNNIEEE Sensors Journal10.1109/JSEN.2019.290025719:13(5256-5265)Online publication date: 1-Jul-2019
https://doi.org/10.1109/JSEN.2019.2900257

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Research on license plate detection algorithm based on SSD

Novel License Plate Detection Method for Complex Scenes

License Plate Detection Using Topology of Characters and Outer Contour