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A Practical Method of Car License Plate character segmentation Based on Morphology and Labeling

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Advances in Manufacturing 2000年第S1期4卷 54-57页

作者： WANG Ming-xiang, MO Yu-long School of Communication and Information Engineering , Shanghai University, Shanghai 200072,China School of Communication and Information Engineering Shanghai University Shanghai 200072China

In this paper, a kind of practical image segmentation algorithm for segment characters from car license plate is presented, based on morphology and labeling. First by morphological operation, noise in the binary image of license plate can be greatly decreased. Then, by labeling, each connected pixel component is given a unique label. Finally, by the known data of license plate, each character is extracted correctly. The advantage of this method is that it can deal with plates with different sizes and connected characters plates, and inclined plates. The experiment results show that it is an effective way to extract characters from the license plate, and can be put into practical use.

关键词： morphology labeling car license plate recognition image segmentation character segmentation

Automatic Vehicle License Recognition Based on Video Vehicular Detection System

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Transactions of Tianjin University 2006年第3期12卷 199-203页

作者：杨兆选陈杨何英华吴骏 School of Electronic Information Engineering Tianjin University Tianjin 300072 China School of Electronic Information Engineering Tianjin University Tianjin 300072 China School of Electronic Information Engineering Tianjin University Tianjin 300072China

Traditional methods of license character extraction cannot meet the requirements of recognition accuracy and speed rendered by the video vehicular detection system. Therefore, a license plate localization method based on multi-scale edge detection and a character segmentation algorithm based on Markov random field model is presented. Results of experiments demonstrate that the method yields more accurate license character extraction in contrast to traditional localization method based on edge detection by difference operator and character segmentation based on threshold. The accuracy increases from 90% to 94% under preferable illumination, while under poor condition, it increases more than 5%. When the two improved algorithms are used, the accuracy and speed of automatic license recognition meet the system＇s requirement even under the noisy circumstance or uneven illumination.

关键词： vehicle license recognition license plate localization character segmentation

Design and Implementation of Intelligent Water Meter Reading System

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International Journal of Plant Engineering and Management 2016年第1期21卷 35-52页

作者： XU Tao-tao 68206 Forces Linxia Gansu731100P.R.China School of Computer Science Northwestern Polytechnical UniversityXi'an 710072P.R.China

With the rise of intelligent residential housing project and the implement of intelligent meter reading system, the four become the typical representative at the same time, they also become the short board of the old residential intelligent direction and constraints. As one of the four meter is an important measurement tool to save water resources. In the process of the development of society and technology, different types of meter reading methods have been derived, but there are still many problems, such as difficulty, time consuming, error copy, misreading. With the current mature image processing technology, the Internet technology and the rapid development of handheld intelligent terminal, the paper develop a meter reading system base on the Android system. The system can reduce the work intensity and the cost of meter reading, and it can make up the blank which old district and the mechanical meter reading can not be intelligent.

关键词： image processing character segmentation android character recognition

Neural Network-Powered License Plate Recognition System Design

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Engineering（科研） 2024年第9期16卷 284-300页

作者： Sakib Hasan Md Nagib Mahfuz Sunny Abdullah Al Nahian Mohammad Yasin School of Information and Electronics Beijing Institute of Technology Beijing China Department of Engineering and Technology Trine University Fort Wayne USA Department of Information Technology Management Westcliff University Irvine USA

The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The design of license plate recognition algorithms has undergone digitalization through the utilization of neural networks. In contemporary times, there is a growing demand for vehicle surveillance due to the need for efficient vehicle processing and traffic management. The design, development, and implementation of a license plate recognition system hold significant social, economic, and academic importance. The study aims to present contemporary methodologies and empirical findings pertaining to automated license plate recognition. The primary focus of the automatic license plate recognition algorithm was on image extraction, character segmentation, and recognition. The task of character segmentation has been identified as the most challenging function based on my observations. The license plate recognition project that we designed demonstrated the effectiveness of this method across various observed conditions. Particularly in low-light environments, such as during periods of limited illumination or inclement weather characterized by precipitation. The method has been subjected to testing using a sample size of fifty images, resulting in a 100% accuracy rate. The findings of this study demonstrate the project’s ability to effectively determine the optimal outcomes of simulations.

关键词： Intelligent Traffic Control Systems Automatic License Plate Recognition (ALPR) Neural Networks Vehicle Surveillance Traffic Management License Plate Recognition Algorithms Image Extraction character segmentation character Recognition Low-Light Environments Inclement Weather Empirical Findings Algorithm Accuracy Simulation Outcomes Digitalization

Research and System Design of Intelligent License Plate Recognition Algorithm

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Research and System Design of Intelligent License Plate Reco...

The Research for License Plate Recognition using Sub-Image Fast Independent Component Analysis

第37届中国控制会议

作者： Yuping Feng Shuguang Li Tengfei Pang College of Automation and Electronic Engineering Qingdao University of Science and Technology

This paper studies the problem of license plate recognition algorithm and system *** key frame with moving vehicles was extracted by the improved three-frame difference and background subtraction method,then the key frames were pretreated by gray edge detection and morphology,achieved license plate location by the image pixel statistics,and license plate tilt correction,character segmentation based on license plate characters projection method,finally the character feature was extracted using BP neural network algorithm,and output character recognition result,complete license plate *** identifying 100 groups of vehicle videos and images,the license plate recognition rate of the method is over 99%.Based on Open CV,the license plate recognition system is developed to realize the visualization of license plate recognition process.

关键词： license plate recognition license plate location character segmentation character recognition BP neural network

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The Research for License Plate Recognition using Sub-Image F...