Vertical-Edge-Based Car-License-Plate Detection Method

Isra, A. R.; Gokulanathan, A.

doi:10.9790/1676-1201020106

Cited by 3 publications

(4 citation statements)

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“…Edge is the main attribute of an object that defines its boundaries. A sudden change of some pixels with gray value is observed of a figure of straight or bowed lines in an image [27]. The plate image might be obtained in various environments, so that it may contain unwanted information or objects, However, it is more accurate to locate a standard size plate that has a fixed height-width ratio.…”

Section: Edge Detectionmentioning

confidence: 99%

License Plate Recognition Techniques: Comparative Study

Abdullah,

Mohammed Al-Nawah,

Osman

et al. 2021

MJCS

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Vehicle License Plate Recognition (LPR) has become a crucial system for various applications such as security monitoring, parking access, law enforcement and so on. LPR is employed for the identification of vehicles using their license plate. Recently, LPR technology has evolved progressively where vast improvement had been made towards the development of the image recognition’s quality and speed, as well as its state of the art methods. Although several research studies managed to resolve most of the issues that arise in LPR systems, more studies need to be conducted to improve the performance of LPR. This paper aims to provide a comprehensive analysis and comparison of different methods used in LPR. It summarizes each of the methods in terms of their accuracy, performance, strengths and weaknesses. Based on the recognition techniques used, LPR is then characterized into two categories, namely Traditional Computer Vision and Deep Learning Techniques.

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Section: Edge Detectionmentioning

confidence: 99%

License Plate Recognition Techniques: Comparative Study

Abdullah,

Mohammed Al-Nawah,

Osman

et al. 2021

MJCS

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“…The steps involved in the detection of edges are itemized as (Gonzalez, 2007;Bharat et al, 2012;Allam, 2012;Sarbjit and Sukhvir, 2014;Khalid and Adarsh, 2014;Chetan and Ajit, 2014;Samarth, 2015;Reji and Dharun, 2015;Soumyadip et al, 2017;Isra and Gokulanathan, 2017;Ameya and Shubhangi, 2017): a. Smoothening: noise removal in the captured image is essential before detection of edges. This should be done with care in order not to destroy the true edge.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the Accuracy of Edge Detectors in Number Plate Extraction

Sadiq¹,

Ochia²,

Zakariyya³

et al. 2019

BJMC

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Edge detection as a pre-processing stage is a fundamental and important aspect of the number plate extraction system. This is due to the fact that the identification of a particular vehicle is achievable using the number plate because each number plate is unique to a vehicle. As such, the characters of a number plate system that differ in lines and shapes can be extracted using the principle of edge detection. This paper presents a method of number plate extraction using edge detection technique. Edges in number plates are identified with changes in the intensity of pixel values. Therefore, these edges are identified using a single based pixel or collection of pixel-based approach. The efficiency of these approaches of edge detection algorithms in number plate extraction in both noisy and clean environment are experimented. Experimental results are achieved in MATLAB 2017b using the Pratt Figure of Merit (PFOM) as a performance metric.

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Comparison of Different Edge Detection Techniques Used in License Plate Localization

Mukhija

Priyanka

2022

2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)

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Vertical-Edge-Based Car-License-Plate Detection Method

Cited by 3 publications

References 4 publications

License Plate Recognition Techniques: Comparative Study

License Plate Recognition Techniques: Comparative Study

On the Accuracy of Edge Detectors in Number Plate Extraction

Comparison of Different Edge Detection Techniques Used in License Plate Localization

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