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A Neural Network Based Artificial Vision System for Licence Plate Recognition

Sorin Draghici
1997 International Journal of Neural Systems  
This paper presents a neural network based artificial vision system able to analyse the image of a car given by a camera, locate the registration plate and recognise the registration number of the car.  ...  One of them is based on a fully connected feedforward artificial neural network with sigmoidal activation functions.  ...  Introduction This paper presents a neural network based artificial vision system -Visicar -and its applications.  ... 
doi:10.1142/s0129065797000148 fatcat:2xyi4la65rdlroxxkd6tak7naq

A Live-Video Automatic Number Plate Recognition (ANPR) System Using Convolutional Neural Network (CNN) with Data Labelling on an Android Smartphone

Abd Gani S. F., Universiti Teknikal Malaysia Melaka, Malaysia., Miskon M. F, Hamzah R. A, Mohamood N, Manap Z, Zulkifli M. F, Md Ali Shah M. A. S.
2021 International Journal of Emerging Technology and Advanced Engineering  
This paper discusses a live-video ANPR system using CNN developed on an Android smartphone embedded with a camera with limited resolution and limited processing power based on Malaysian license plate standards  ...  Automatic Number Plate Recognition (ANPR) combines electronic hardware and complex computer vision software algorithms to recognize the characters on vehicle license plate numbers.  ...  Bhd. for providing the support needed to complete the work herein via grant number MTUNC/2019/FTKEE-CACT/MC0016.  ... 
doi:10.46338/ijetae1021_11 fatcat:6fc2y3gtwfe5tem5vttaheney4

Vehicle Information Retrieval by Number Plate Detection

Kavya G
2020 International Journal of Advanced Trends in Computer Science and Engineering  
The system is trained by using a Convolutional Neural Network (CNN) machine learning algorithm to identify the number plates of the vehicles.  ...  To avoid such fatal crashes near the road intersections and traffic signals a Vehicle Information Retrieval System (VIRS) is introduced in this article.  ...  First, we would like to thank our management for providing great opportunity to complete this paper. We also thank our Head of the Department for his constant support.  ... 
doi:10.30534/ijatcse/2020/163922020 fatcat:jm47r7a7knhlhcpekrpne43lsy

The Kingdom of Saudi Arabia Vehicle License Plate Recognition using Learning Vector Quantization Artificial Neural Network

Yusuf Perwej, Nikhat Akhtar, Firoj Parwej
2014 International Journal of Computer Applications  
In this paper recognition of the license plates is achieved by the implementation of the Learning Vector Quantization artificial neural network.  ...  In the today scenario technological intelligence is a higher demand after commodity even in traffic-based systems.  ...  THE PROPOSED MODEL FOR SAUDI ARABIA VEHICLE LICENCE PLATE CHARACTER RECOGNITION In this section, a new algorithm for Arabic character recognition is developed which is based on learning vector quantization  ... 
doi:10.5120/17230-7556 fatcat:fzbpuijitjbo3mmiwe6ik52fru

An Intelligent License Plate Detection and Recognition Model Using Deep Neural Networks

J.Andrew Onesimu, Robin D.Sebastian, Yuichi Sei, Lenny Christopher
2021 Annals of Emerging Technologies in Computing  
Experimental result shows that the proposed system achieves 91.1%, 96.7%, and 98.8% accuracy on license plate detection, segmentation, and recognition respectively which is superior to state-of-the-art  ...  Hence, it is necessary to develop an Automatic License Plate Detection and Recognition (ALPDR) model that recognize the license plate number of vehicles automatically.  ...  Singh et al. in [26] developed a deep neural network model for license plate detection and LSTM based model is used for license plate character recognition.  ... 
doi:10.33166/aetic.2021.04.003 fatcat:csltnfwq6vgr5b6sw7rnagffdq

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

Mahdi Rezaei, Morteza Isehaghi
2018 2018 9th Conference on Artificial Intelligence and Robotics and 2nd Asia-Pacific International Symposium  
neural network technique to identify the location of a license plate in an image.  ...  Accurate license plate localization is the most important prerequisite in ANPR (Automatic Number Plate Recognition) systems.  ...  Cascade of Classifiers [15] , Stereo Vision based features [31] , [32] , and Fuzzy logic Neural Networks [27] are other alternative approaches.  ... 
doi:10.1109/aiar.2018.8769804 fatcat:u32evmcvu5aspfdblxpx4ntawu

The Utilization of Template Matching Method for License Plate Recognition: A Case Study in Malaysia [chapter]

Norazira A. Jalil, A. S. H. Basari, Sazilah Salam, Nuzulha Khilwani Ibrahim, Mohd Adili Norasikin
2014 Lecture Notes in Electrical Engineering  
Most vehicle license plate recognition use neural network techniques to enhance its computing capability.  ...  The image of the vehicle license plate is captured and processed to produce a textual output for further processing.  ...  ACKNOWLEDGEMENTS We would like to acknowledge the Malaysian Technical University Network -Centre of Excellence (MTUN CoE) for the funding granted, MTUN/ 2012/ UTeM-FTMK/11 M00019.  ... 
doi:10.1007/978-3-319-07674-4_100 fatcat:ks5b3gs62vccrgx2syug6r55e4

Survey on Automatic Number Plate Recognition System

Devesh Khaparde, Heet Detroja, Jainam Shah, Rushikesh Dikey, Bhushan Thakare
2018 International Journal of Computer Applications  
Number plate recognition is a system which is designed to capture the registered number plate of vehicles.  ...  A Machine vision system for the car identification can also help a human operator and cultivate an objective to improve automation of the traffic controlling system using machine-learning tools.  ...  Segmentation part as well as optical character recognition can be improved using other popular algorithms like Artificial Neural Network 1. Farid Bounini 2. Denis Gingras 3.  ... 
doi:10.5120/ijca2018916193 fatcat:gbevu2sm6bbsxhyorakr5loxii

Vehicle Registration and Traffic Violation Details Detection System by Capturing the Vehicle Number Plate in Sri Lanka

T.A. K. Conara, S. V. S. Gunasekara, H. K. S. Premadasa
2021 CINEC Academic Journal  
For vehicle identification, this device employs image detection and character recognition technologies.  ...  It is impossible for a police officer to distinguish between the license numbers of vehicles that break the laws and the license numbers of speeding vehicles.  ...  I owe a debt of appreciation to Ms. Suranji Nadeeshani, the Head of the Department of Information Technology, in CINEC and Mr. Thilak De Silva for their support and inspiration.  ... 
doi:10.4038/caj.v5i1.87 fatcat:7vw3tby7czevhm4ithtwockwpq

License plate identification and recognition in a non-standard environment using neural pattern matching

Imran Shafi, Imtiaz Hussain, Jamil Ahmad, Pyoung Won Kim, Gyu Sang Choi, Imran Ashraf, Sadia Din
2021 Complex & Intelligent Systems  
For the mentioned study, 53-layer deep convolutional neural network (CNN) architecture based on the latest variant of object detection algorithm-You Only Look Once (YOLOv3) is employed.  ...  Private number plates should be recognized and, monitored for several purposes including security as well as a well-developed traffic system.  ...  In addition, a character recognition neural network is adopted for character recognition. Results indicate that 96.5% of the plates can be segmented correctly with the proposed approach.  ... 
doi:10.1007/s40747-021-00419-5 fatcat:gr6v4fz7uvcm3aqrxv6romcshy

Quality assessment for a visual and automatic license plate recognition

Lucjan Janowski, Piotr Kozłowski, Remigiusz Baran, Piotr Romaniak, Andrzej Glowacz, Tomasz Rusc
2012 Multimedia tools and applications  
Recognizing the growing importance of video in delivering a range of public safety services, we focused on developing critical quality thresholds in license plate recognition tasks based on videos streamed  ...  The Quality of Experience (QoE) concept for video content used for entertainment differs significantly from the QoE of surveillance video used for recognition tasks.  ...  The recognition process is based on the Artificial Neural Network with 150 inputs, 73 neurons in the hidden layer and 35 outputs.  ... 
doi:10.1007/s11042-012-1199-5 fatcat:vsbo3ue5tvg4thst7a55kwwpje

A Robust Deep Learning Approach for Automatic Iranian Vehicle License Plate Detection and Recognition for Surveillance Systems

Ali Tourani, Asadollah Shahbahrami, Sajjad Soroori, Saeed Khazaee, Ching Yee Suen
2020 IEEE Access  
Authors in [37] proposed a method for Chinese vehicle license plate recognition, which employs YOLO v.2 detector for LPD and Convolutional Recurrent Neural Network (CRNN) for CR stages.  ...  CHARACTER RECOGNITION NETWORK The input of the second network is a set of Iranian vehicle license plate images resized to 224×224 for the recognition process.  ...  Sajjad Soroori is a member of computer vision association of University of Guilan since 2018, and has published two conference papers related to the vehicle detection and automatic license plate recognition  ... 
doi:10.1109/access.2020.3035992 fatcat:zvkqqsmsrbcbbjhuo2yz5erjai

Developing Learning-Based Preprocessing Methods for Detecting Complicated Vehicle Licence Plates

Meeras Salman Al-Shemarry, Yan Li
2020 IEEE Access  
It can be seen as a type of artificial intelligence network, called a support vector network [18] .  ...  They are often used as a surveillance technique to identify licence plates of vehicles and are very useful for security systems, highway road tolling systems, traffic sign systems, tracking, and parking  ...  the overall detection time of the LPD system, that currently is 2.2187ms in total.  ... 
doi:10.1109/access.2020.3024625 fatcat:3wfblm4frfg5dnyx72hhsxsalq

License Plate Image Analysis Empowered by Generative Adversarial Neural Networks (GANs)

Ibrahim H. El-Shal, Omar M. Fahmy, Mustafa A. Elattar
2022 IEEE Access  
The experiments demonstrate that the suggested SRGAN can generate high-resolution images that improve the accuracy of the license plate recognition stage compared to other systems.  ...  The main paper contribution can be summarized into presenting an end-to-end deep learning framework based on generative adversarial networks (GAN), which is able to generate realistic super-resolution  ...  Recently, several ALPR systems have been proposed. In recent years, the majority of ALPR applications have been based on real-time detection or recognition of licence plates.  ... 
doi:10.1109/access.2022.3157714 fatcat:3mqwxhr32vhd5nsrxg5cya63eq

Cognitive Reading and Character Recognition in Image Processing Techniques

Magesh Kasthuri, Venkatasubramanian Sivaprasatham
2020 SN Computer Science  
This article explains some of the methods in cognitive reading in image processing for character recognition and briefly discusses the steps involved in the process of character recognition in image processing  ...  For instance, in the research areas of biology, medicine and human management sciences there are various problems where we need cognitive reading to deliver a complex and in-exact solution when there is  ...  Neural Network in Hybrid Recognition Application of artificial neural network (ANN)-based system is used in many document image analyses and recognition processes, and a good recognition system relies  ... 
doi:10.1007/s42979-020-00142-x fatcat:hfcubwubk5ch7cxmhhxh6vkiqe
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