scholarly journals Automatic Vehicle License Plate Detection using K-Means Clustering Algorithm and CNN

2021 ◽  
Vol 3 (1) ◽  
pp. 15-23
Author(s):  
Joy Iong Zong Chen
Keyword(s):  
Clustering Algorithm ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
The Other ◽  
License Plate ◽  
License Plate Recognition ◽  
Uniform Illumination ◽  
Detection Algorithms ◽  
Simulation Results ◽  
License Plate Detection

Because of the development of highways as well as the increased number of vehicles usage, much attention is required on to develop an efficient and safe intelligent transportation system. The aspect of identifying specific objects present in an image is an important criteria in areas like digital image processing and computer vision. Because of the different formats, colours, shapes, viewpoints and non-uniform illumination environment of license plates, recognising the same proves to be a tasking issue. In this paper, we present a vehicle license plate recognition model using convolutional neural network (CNN) and K-means clustering based segmentation. This methodology works on three major steps such as detection and segmentation using K-means clustering and recognition of the number in the license plate using CNN model. We have also used location and detection algorithms to improve the accuracy of detection. The experimental investigation is carried out using datasets and the observed simulation results prove that the proposed mode is more effective than the other methodologies introduced so far.

Vehicle License Plate Recognition with Intelligent Materials Based on Color Division

2012 ◽  
Vol 485 ◽  
pp. 592-595
Author(s):  
Sheng Bing Che ◽  
Jin Kai Luo
Keyword(s):  
Light Intensity ◽  
Intelligent Transportation System ◽  
Color Space ◽  
Intelligent Transportation ◽  
License Plate ◽  
License Plate Recognition ◽  
Intelligent Materials ◽  
Plate Area ◽  
Rgb Color Space ◽  
New Algorithms

With the development and progress of the economic and technology, transportation has become more and more important in human’s usual life. Intelligent transportation system can be used in many areas. Images in RGB color space are very sensitive to the environment light intensity, and what’s more, there may be some pollution appeared on the plate and so on, these made it difficult to locate the plate area. In this paper, we proposed some new algorithms. In the first stage, car image preprocess, a new algorithm named color division was proposed. Experiments show that, influences from the environment as well as some inevitably differences of colors in the plate into standard color, so the performance of whole system was improved. In the period of license location, a new algorithm based on license color pairs was proposed, and it has good performance after experiments.

scholarly journals A COMPARISON PRE-TRAINED MODELS FOR AUTOMATIC INDONESIAN LICENSE PLATE RECOGNITION

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Sahid Bismantoko ◽  
M. Rosyidi ◽  
Umi Chasanah ◽  
Asep Haryono ◽  
Tri Widodo
Keyword(s):  
Image Processing ◽  
Law Enforcement ◽  
Intelligent Transportation System ◽  
Computation Time ◽  
Intelligent Transportation ◽  
Transportation System ◽  
License Plate ◽  
License Plate Recognition ◽  
Processing Approach ◽  
Optimum Model

Automatic License Plate Recognition is related to the Intelligent Transportation System (ITS) that supports the road's e-law enforcement system. In the case of the Indonesian license plate, with various colour rules for font and background, and sometimes vehicle owners modify their license plate font format, this is a challenge in the image processing approach. This research utilizes pre-trained of AlexNet, VGGNet, and ResNet to determine the optimum model of Indonesian character license plate recognition. Three pre-trained approaches in CNN-based detection for reducing time for a build if model from scratch. The experiment shows that using the pre-trained ResNet model gives a better result than another two approaches. The optimum results were obtained at epoch 50 with an accuracy of 99.9% and computation time of 26 minutes. This experiment results fulfil the goal of this research. Keywords : ALPR; ITS; CNN; AlexNet; VGGNet; ResNet

Development of intelligent transportation system for Philippine license plate recognition

2016 ◽  
Author(s):  
John Paolo D. Dalida ◽  
A-Jay N. Galiza ◽  
Aleck Gene O. Godoy ◽  
Masaru Q. Nakaegawa ◽  
Jean Louise M. Vallester ◽  
...  
Keyword(s):  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Transportation System ◽  
License Plate ◽  
License Plate Recognition

License Plate Tilt Correction: A Review

2021 ◽  
Vol 39 (1B) ◽  
pp. 101-116
Author(s):  
Nada N. Kamal ◽  
Enas Tariq
Keyword(s):  
State Of The Art ◽  
Recognition System ◽  
License Plate ◽  
License Plate Recognition ◽  
Tilt Correction ◽  
Detection Algorithms ◽  
Essential Step ◽  
Tilting Angle ◽  
Different Types ◽  
Line Fitting

Tilt correction is an essential step in the license plate recognition system (LPR). The main goal of this article is to provide a review of the various methods that are presented in the literature and used to correct different types of tilt that appear in the digital image of the license plates (LP). This theoretical survey will enable the researchers to have an overview of the available implemented tilt detection and correction algorithms. That’s how this review will simplify for the researchers the choice to determine which of the available rotation correction and detection algorithms to implement while designing their LPR system. This review also simplifies the decision for the researchers to choose whether to combine two or more of the existing algorithms or simply create a new efficient one. This review doesn’t recite the described models in the literature in a hard-narrative tale, but instead, it clarifies how the tilt correction stage is divided based on its initial steps. The steps include: locating the plate corners, finding the tilting angle of the plate, then, correcting its horizontal, vertical, and sheared inclination. For the tilt correction stage, this review clarifies how state-of-the-art literature handled each step individually. As a result, it has been noticed that line fitting, Hough transform, and Randon transform are the most used methods to correct the tilt of a LP.

Research of License Plate Recognition System Based on Labview

2015 ◽  
Vol 734 ◽  
pp. 646-649
Author(s):  
Zhong Hua Hu ◽  
Chen Tang
Keyword(s):  
Virtual Instrument ◽  
Character Recognition ◽  
Traffic Management ◽  
Intelligent Transportation System ◽  
Recognition System ◽  
License Plate ◽  
Morphological Operations ◽  
License Plate Recognition ◽  
Plate Location ◽  
Traffic Management System

The vehicle license plate recognition system is the intelligent traffic management system based on the image and the character recognition technology, which is an important part of the intelligent transportation system. This paper introduces a method of vehicle license plate location based on edge detection and morphological operations, virtual instrument is combined with machine vision of the license plate recognition method [1]. Finally the license plate number of the vehicle is get. Experiment results show that such method can simplify the algorithm and has some correct location rate.

Sign in / Sign up

Export Citation Format

Share Document