Research and Implementation of a License Plate Recognition Algorithm Based on Hierarchical Classification

Gao, Haofei; Sun, Wanrong; Liu, Xinran; Han, Myung-Mook

doi:10.4236/jcc.2014.22005

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…When the vehicle is running, the dynamic license plate recognition algorithm can start from an initial state and initial input, and it finally produces output and stop at a termination state after a series of limited and clearly defined states [21]. Image segmentation is a very important subject in the analysis and processing of digital image data for mobile object detection technology, especially for mobile object detection; it requires mature segmentation technology to clearly segment the foreground and background [22] and adds new cloud architecture idea with the hope to achieve better results. The two algorithms are described as follows.…”

Section: Methodsmentioning

confidence: 99%

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An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

Chen

Lin

Kan

2019

Sensors

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From the accident news, it is found that the occurrences of traffic accidents every year and the numbers of deaths and injuries have raised continually and have become a specific issue concerned in society in Taiwan. More seriously, the number of traffic accidents is positively increased with the increasing motorized vehicles. Thus, to reduce the incidence of traffic accidents through by some advanced real-time technologies is an important and interesting work. However, some serious problems against traffic safety are facing, such as the low-quality video saved by a camera, low efficiency facilities supported, inefficient management of surveillance resources, and low definition resolution for cameras, which is resulted in a dilemma problem caused from providing evidence-based images to a local authority either for criteria for judgment or basis for improvement. As a big effort to deal with the above defects for constructing a smart city, this paper makes a main purpose to develop an advanced system of intelligent cloud-based transportation vehicle surveillance (called ICTVSS) for license plate identification. This existing identification algorithm was studied and developed from a combination of improved differential algorithm and improved active contour algorithm. Given such a combination, a novel algorithm of dynamic license identification for smart monitoring was fully realized for constructing a well-defined smart city. The experimental results showed good performance and experienced that the proposed algorithm performed well in locating multi-license plate and differential methods, removing image noise of license plate, and processing constant-inconstant light source from complex environment cases, and guaranteed effective license plate identification from the benefit of high resolutions of digital cameras.

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Section: Methodsmentioning

confidence: 99%

“…Regarding improved differential algorithm [22], it can be formatted as the following procedures and parameter setting step by step. Initialization: Set parameter value.Mutation: Randomly select three variable vectors ( Xr1 , G ), ( Xr2 , G ), and ( Xr3 , G ), and obtain a donor vector ( V i , G+1 ) through mutation weighting factor ( F ).…”

Section: Methodsmentioning

confidence: 99%

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

Chen

Lin

Kan

2019

Sensors

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“…Proposed by Harris and Stephens in 1988, Harris corner detection algorithm is used to extract features of signal points, and it is theoretically based on Moravec operator. 10 Moravec operator defines a local rectangle detection window for the central pixel in the image. The window can be slightly shifted in any horizontal, vertical, positive and negative diagonal direction.…”

Section: Harris Corner Detection Algorithm and Its Defectsmentioning

confidence: 99%

An improved corner detection algorithm used in video statistics

Sun

Zhang

2018

Journal of Algorithms & Computational Technology

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In order to address the difficult problem to determine the number of populations, this paper improves the algorithm based on the Harris point detection algorithm, and the number of people is returned through the first-order linear regression model. First of all, according to the shortcomings of Harris corner algorithm in population statistics, an adaptive gray difference idea is proposed, and the concept of integral image is introduced to overcome its defects in noise immunity and real-time operation. Secondly, in view of the large error generated in the process of population statistics in the first-order static model, a dynamic linear model regression method is proposed. In this method, it is believed that there is certain proportionality coefficient between each frame of corner points and the number of people with the change of time, and this coefficient has certain correlation with the angle points in the previous frame and current frame. At the same time, in order to eliminate the number of redundant corners generated in the corner statistics process, the frame difference method is used to filter the stationary point. Finally, the number of people is returned through first-order linear model.

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A License Plate Reader using AVR Microcontroller

Chougule¹,

Ansari²

2015

IJCA

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License Plate Recognizer is an efficient and effective system to identify the vehicles. In this paper we represent the simple and effective technique to identify the Indian license plate. This Proposed system consist tree steps, first is extraction of license plate from a captured image by camera. Second step is segmentation of the character from number plate and extract. And the last step is recognizing the characters and display it informs of text. So in this paper for first step used technique is morphological operation, for second step we used histogram to extract the numbers. For recognition we used the template matching by cross correlation between extracted character and database. At last to display recognized number plate at long distance on the LCD display AVR microcontroller is used.

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Research and Implementation of a License Plate Recognition Algorithm Based on Hierarchical Classification

Cited by 3 publications

References 16 publications

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

An improved corner detection algorithm used in video statistics

A License Plate Reader using AVR Microcontroller

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