Robust license-plate recognition method for passing vehicles under outside environment

Naito, Takashi; Tsukada, Toshihiko; Yamada, Keiichi; Kozuka, Kazuhiro; Yamamoto, Shin

doi:10.1109/25.901900

Cited by 188 publications

(70 citation statements)

References 19 publications

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“…In addition, the trajectories of tracked objects can be used for monitoring different persons or unauthorized cars entering into a private area [15]. During the last decade, many effective and efficient object detection algorithms have been proposed.…”

Section: Shadow Elimination With Gaussian Modelsmentioning

confidence: 99%

Shadow elimination for effective moving object detection by Gaussian shadow modeling

Hsieh

Chang

et al. 2003

Image and Vision Computing

140

111

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Section: Shadow Elimination With Gaussian Modelsmentioning

confidence: 99%

Shadow elimination for effective moving object detection by Gaussian shadow modeling

Hsieh

Chang

et al. 2003

Image and Vision Computing

140

111

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“…al. [3] developed a novel sensing system, which utilizes two CCDs and the prism to split an incident ray into two lights with different intensities, has been presented. One of the main features of this sensing system is that it covers wide illumination conditions from twilight to noon under sunshine.…”

Section: Image Acquisitionmentioning

confidence: 99%

License Plate Recognition System using Back Propagation Neural Network

Laxmi¹,

Rohil²

2014

IJCA

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Due to rapid development of technology and increasing use of vehicles, license plate recognition system has numerous applications. In present world, crimes are increasing day by day with a rapid speed and criminals use vehicles in crimes. When we go at a crowded place, we see that people does not follow traffic rules during driving due to which many road accidents occur. So we have designed a license plate recognition system to overcome these problems. Identifying the license plate of a vehicle involved in crimes can help to nab the criminals. In recent years, template matching was used for license plate recognition but it is sensitive to noise. So, neural networks are used for recognition. In this paper, Haar wavelet and back propagation neural network are used for license plate detection and feature extraction of license plate characters. The proposed system has been implemented in MATLAB.

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“…This system is capable of capturing fine image under bad illumination conditions, from twilight up to noon in the sunshine, capturing non-blurred moving vehicle images and recognizing plates even being inclined. In this system, even if the position of TV camera varied widely over 97% of the license plates could be recognized successfully [2]. Naito and Tsukada [2] evaluated the license plates location in binary images instead of using gray level images in order to simplify this task.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithms were tested on more than three thousand real images with a recognition rate close to 91%. In [2] Naito and Tsukada proposed a robust plates recognition system. This system is capable of capturing fine image under bad illumination conditions, from twilight up to noon in the sunshine, capturing non-blurred moving vehicle images and recognizing plates even being inclined.…”

Section: Introductionmentioning

confidence: 99%

License Vehicle Plates Localization Using Maximum Correlation

Marques

Medeiros

Silva

et al. 2004

Lecture Notes in Computer Science

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Abstract. In this paper we propose an automatic method to locate Brazilian license plates in digital images acquired from a real monitoring traffic system. The approach is based on the correlation between lines of the preprocessed image and a square wave form that resembles lines in the region of the pattern plate. The maximum correlation points out the horizontal and vertical crossing axes over the plate. Prior to locating plates, the post processing Min/Max scheme is applied to the binary images in order to diffuse segmentation remnant noise.

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Robust license-plate recognition method for passing vehicles under outside environment

Cited by 188 publications

References 19 publications

Shadow elimination for effective moving object detection by Gaussian shadow modeling

Shadow elimination for effective moving object detection by Gaussian shadow modeling

License Plate Recognition System using Back Propagation Neural Network

License Vehicle Plates Localization Using Maximum Correlation

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