License Plate Recognition algorithm based on derived kernel

Zhang, Zhen Chao; Tang, Yuan Yan

doi:10.1109/icwapr.2012.6294785

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…These two kinds of algorithms solve numerical and non-numerical calculus through numerical calculus program. The improved difference algorithm and improved combination of active contour algorithm are constructed on the difference among individuals in a group [20], and the differences between individuals are added to other individuals to observe whether the difference can bring positive results so as to obtain the evolutionary advantages. 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].…”

Section: Methodsmentioning

confidence: 99%

“…There are five procedures for the image processing of license plate, including orderly image processing, license plate localization, license plate processing, character segmentation, and identifying recognition. In detail, the first sub-step is to process image extraction [20] from features targeted and accordingly locate and circle the position of license plate [28]. Next, this sub-step uses the processing algorithm in the study of Weijian and Zhou [29] for the following purposes of character segmentation application and license plate recognition [30,31].…”

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%

Section: Methodsmentioning

confidence: 99%

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

Chen

Lin

Kan

2019

Sensors

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“…References [14], [15] are the samples of work in which has been used the texture information in the images of gray level for extracting the image of the plate. Within [14] is used median filter, a filter is nonlinear for canceling salt-popper noises.…”

Section: Related Wor Ksmentioning

confidence: 99%

New framework based on complementary methods for efficiency and accuracy of license plate recognition system

Azad

Davami

Jeo

et al. 2014

2014 6th Conference on Information and Knowledge Technology (IKT)

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This paper represents a new and intelligent system for license plate recognition used in many cases, for example: unattended parking lots, security control of restricted areas, traffic law enforcement, congestion pricing, and automatic toll collection. The proposed system is a process based on a combination of the complement methods that increases the accuracy of output data and is generally accountable on the images that have many problems and aren't answerable with a particular approach. The performance of this system is in a form that, firstly, the input image is given to all the complement methods in order for the location of the plate candidate to be determined, then their response is investigated according to the valence function and finally the location of plate is properly determined by the majority of votes and ensures the accuracy of output data. If the complement methods are chosen correctly, this proposed system will be responsive to the images in which the license plate recognition is likely. This method has been tested on two data sets that have different images of the background, considering the distance, and angle of view so that the correct extraction rate of plate location reached at 100% and 99% respectively.

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New method for optimization of license plate recognition system with use of edge detection and connected component

Azad

Shayegh

2013

Iccke 2013

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Abstract-Sign language continues to be the preferred method of communication among the deaf and the hearing-impaired. Advances in information technology have prompted the development of systems that can facilitate automatic translation between sign language and spoken language. More recently, systems translating between Arabic sign and spoken language have become popular. This paper reviews systems and methods for the automatic recognition of Arabic sign language. Additionally, this paper highlights the main challenges characterizing Arabic sign language as well as potential future research directions.Index Terms-Arabic sign language recognition (ArSLR), continuous sign recognition, image-based, isolated word recognition, sensor-based.

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License Plate Recognition algorithm based on derived kernel

Cited by 4 publications

References 14 publications

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

New framework based on complementary methods for efficiency and accuracy of license plate recognition system

New method for optimization of license plate recognition system with use of edge detection and connected component

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