A Survey on License Plate Recognition Systems

Gilly, Divya; Raimond, Kumudha

doi:10.5120/9934-4569

Cited by 16 publications

(9 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Java DIP Open Source Libraries are commonly used in Java programming language. One of the most challenging aspects of pattern or character recognition is how to successfully distinguish similar patterns/characters, such as (8 vs. B), (0 vs. D vs. O), (5 vs. S) etc [23]. Singh et al [24] have proposed a hybrid method for differentiating similar patterns/characters by comparing the angle of two pixels.…”

Section: Discussionmentioning

confidence: 99%

Computational Model for Creating Neural Network Dataset of Extracted Features From Images Captured by Multimedia Security Devices

Garba¹,

Chinyio²

2019

IJIVP

View full text Add to dashboard Cite

Whenever multimedia security devices, such as the Closed-Circuit Television (CCTV), capture images, the decisive analysis is usually left for the human expert to determine the content therein and suggest the necessary action to be taken. However, the application of Artificial Intelligence (AI) helps in complementing human efforts in carrying out such analysis. This is achievable if the required input dataset is created by extracting features from the identifiable objects in the images. The extraction of such features is based on regional properties of objects within an imageusing technique such as the Gray-Level Co-occurrence Matrix (GLCM). This dataset is consequently used in AI platforms that are based on Artificial Neural Network (ANN) and Neuro-Fuzzy systems (specifically in Adaptive Neuro-Fuzzy Inference System (ANFIS)). This paper is presenting a computational model for creating training and testing datasets. For the simulation of the model, Matlab was used, however, the computational model is realizable via other programming and numerical computing environments.

show abstract

Section: Discussionmentioning

confidence: 99%

Computational Model for Creating Neural Network Dataset of Extracted Features From Images Captured by Multimedia Security Devices

Garba¹,

Chinyio²

2019

IJIVP

View full text Add to dashboard Cite

show abstract

“…Then founded zone in the pattern area considered as a candidate and supplemented to candidate region. In [4], some license plate detection algorithms such as dynamic programming-based, Hough transforms, Gabor transforms, morphology-based algorithms, AdaBoost algorithm and edge-based model was discussed. In [5], Fast Fourier transform, discrete wavelet transform & discrete curvelet transform compared to recognize & classify 5 models of vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Automatic license plate localization in traffic videos

Shami

Rafiee²,

Bidokhti

et al. 2014

2014 International Congress on Technology, Communication and Knowledge (ICTCK)

View full text Add to dashboard Cite

This paper addresses the problem of Iranian license plate localization in the traffic video frames. To find the location of license plates in any frame, as a new method, first we detect the moving vehicles with a background extraction algorithm. The background image must be updated in any specified period of time and subtracted from the current frame. Foreground image includes moving objects. After detecting the moving vehicles, using morphological techniques and histogram and area properties, the location of license plates are extracted. Simulation results illustrate the high accuracy of the proposed method.I.

show abstract

“…The license plate [2,7,18,57] is one key visual feature on the vehicle; it is one only regular shape on the car, uniform, markers with identity recognition function. In the previous research on automotive collision warning and intelligent vehicle, less attention was paid for the vehicle license plate.…”

Section: Introductionmentioning

confidence: 99%

Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target

Qin

Wang

2016

Multimed Tools Appl

View full text Add to dashboard Cite

At present, detection method for the target vehicle based on monocular vision sensor uses the whole vehicle as targets. The automobile anti-collision technology proposed in this paper adopts monocular vision sensor for automobile measurement based on vehicle license plate cooperative target. Monocular vision sensor has advantages of good real-time performance and low cost. The technique can improve the detection capability of vehicle collision avoidance warning systems. In addition to the target vehicle positioning, it can also realize attitude determination. This technology eliminates the limits of road surface roughness and fluctuation. This paper designs the realization scheme of collision warning system based on monocular vision sensor from the automobile license plate cooperative target. Technology roadmap of automobile collision warning system is given. In this paper, license plate frame location is as the research background. The paper presents an analytic solution of positioning method for the license plate frame image. The method uses four vertex characteristics of license plate frame image to locate. Positioning speed of the method is fast. And it has a unique solution. This method can be used to positioning for the license plate frame. Simulation experiment is done for the collision warning location. The simulation results show that this method can locate the position for license plate frame image. License plate is regular shape, uniform, with identity recognition function markers on the automobile body. In the previous research on automotive collision warning and intelligent vehicle, we have not seen the research methods similar to the method introduced in this paper. The research enriches automobile anticollision technology and theory of intelligent vehicle technology. It can also provide an auxiliary method for navigation and obstacle avoidance research for unmanned vehicle. It has certain scientific significance. Vehicle collision warning system can help the driver judgment, prompting warning, improving driving safety, and has broad application prospects.

show abstract

A Survey on License Plate Recognition Systems

Cited by 16 publications

References 16 publications

Computational Model for Creating Neural Network Dataset of Extracted Features From Images Captured by Multimedia Security Devices

Computational Model for Creating Neural Network Dataset of Extracted Features From Images Captured by Multimedia Security Devices

Automatic license plate localization in traffic videos

Design and research of automobile anti-collision warning system based on monocular vision sensor with license plate cooperative target

Contact Info

Product

Resources

About