Research on the Method of Image Preprocessing in License Plate Location

Yang, Yong; Chi-xi, Wang; Yu, Bin; Yin, Zhihao

doi:10.1109/iccis.2013.288

2013 International Conference on Computational and Information Sciences 2013

DOI: 10.1109/iccis.2013.288

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Research on the Method of Image Preprocessing in License Plate Location

Yong Yang

Wang Chi-xi

Bin Yu

et al.

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Cited by 2 publications

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An Efficient Method for License Plate Localization Using Multiple Statistical Features in a Multilayer Perceptron Neural Network

Rezaei

Isehaghi

2018

2018 9th Conference on Artificial Intelligence and Robotics and 2nd Asia-Pacific International Symposium

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Accurate license plate localization is the most important prerequisite in ANPR (Automatic Number Plate Recognition) systems. Majority of the existing algorithms use a single feature to obtain the license plate location which causes to potential false detections. In this article we propose a robust methodology using 16 statistical features while we still preserve real-time processing of the system which is a requirement for such applications. The proposed method uses a Vertical Projection technique and Discrete Fourier Transform (DFT) in order to extract multiple statistical features, as well as K-means clustering and multilayer perceptron neural network technique to identify the location of a license plate in an image. The method is compared with the state-of-the-art research in the field and the effectiveness of the method is evaluated for various types of license plates with different scripts.

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An Efficient Method for License Plate Localization Using Multiple Statistical Features in a Multilayer Perceptron Neural Network

Rezaei

Isehaghi

2018

2018 9th Conference on Artificial Intelligence and Robotics and 2nd Asia-Pacific International Symposium

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A Novel Gas Meter Verification Method via Adaptive Template Matching and Pulse Activation Decision

Ye¹,

Lin³

et al. 2021

2021 33rd Chinese Control and Decision Conference (CCDC)

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Research on the Method of Image Preprocessing in License Plate Location

Cited by 2 publications

References 6 publications

An Efficient Method for License Plate Localization Using Multiple Statistical Features in a Multilayer Perceptron Neural Network

An Efficient Method for License Plate Localization Using Multiple Statistical Features in a Multilayer Perceptron Neural Network

A Novel Gas Meter Verification Method via Adaptive Template Matching and Pulse Activation Decision

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