Vehicle license plate localization using wavelets

Kanani, Pritesh; Gupta, Aakash; Yadav, Deepak; Bodade, Rajesh M.; Pachori, Ram Bilas

doi:10.1109/cict.2013.6558275

Cited by 17 publications

(5 citation statements)

References 16 publications

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“…Figure 16 presents the results of applying our proposed algorithm comparing to other methods. As shown in this figure, the method used by Kanani et al [35] has detected some wrong LPs. Although in [9] the LPs are detected correctly, the localization algorithm does not detect the right positions of the merged (tight) number plates.…”

Section: A Scope Of Evaluationmentioning

confidence: 96%

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Real-time search-free multiple license plate recognition via likelihood estimation of saliency

Safaei

Tang

Sanei

2016

Computers & Electrical Engineering

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In this paper, we propose a novel search-free localization method based on 3-D Bayesian saliency estimation. This method uses a new 3-D object tracking algorithm which includes: object detection, shadow detection and removal, and object recognition based on Bayesian methods. The algorithm is tested over three image datasets with different levels of complexities, and the results are compared with those of benchmark methods in terms of speed and accuracy. Unlike most search-based license-plate extraction methods, our proposed 3-D Bayesian saliency algorithm has lower execution time (less than 60 ms), more accuracy , and it is a search-free algorithm which works in noisy backgrounds.

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Section: A Scope Of Evaluationmentioning

confidence: 96%

“…Comparing to [30,31] and the research carried out by Kanani et al [35] that uses wavelet decomposition for localizing the LP or even the earlier work of our own [9], which uses fixed closing size for the edge image, our proposed localization method uses adaptive size in closing, which improves the accuracy. …”

Section: Localizationmentioning

confidence: 99%

Real-time search-free multiple license plate recognition via likelihood estimation of saliency

Safaei

Tang

Sanei

2016

Computers & Electrical Engineering

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“…Another popular method is wavelet transform and is based on small wavelets with limited duration [2], [23]- [25]. In this method, vertical features are extracted using wavelet transform and the position parameters of the plate are determined by analyzing the projection features in both the time and frequency domains.…”

Section: Previous Workmentioning

confidence: 99%

Improved license plate localisation algorithm based on morphological operations

Yépez¹,

Ko²

2018

IET Intelligent Transport Systems

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In presenting this thesis in partial fulfilment of the requirements for a Postgraduate degree from the University of Saskatchewan, I agree that the Libraries of this University may make it freely available for inspection. I further agree that permission for copying of this thesis in any manner, in whole or in part, for scholarly purposes may be granted by the professor or professors who supervised my thesis work or, in their absence, by the Head of the Department or the Dean of the College in which my thesis work was done. It is understood that any copying or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission. It is also understood that due recognition shall be given to me and to the University of Saskatchewan in any scholarly use which may be made of any material in my thesis.

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“…In the work of P. Kananiet al [10], a 2-Level 2-D Haar wavelet decomposition of the image is used in validating the license plate co-ordinates in the image of car.…”

Section: Fig 1: Sample Of Number Platementioning

confidence: 99%

An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm

Dey¹,

Choudhury²,

Mukherjee³

2014

IJCA

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This paper describes an efficient technique of locating and extracting license plate and recognizing each segmented character. The proposed model can be subdivided into four parts-Digitization of image, Edge Detection, Separation of characters and Template Matching. In this work, we propose a method which is based on morphological operations where different Structuring Elements (SE) are used to maximally eliminate non-plate region and enhance plate region. Character segmentation is done using Connected Component Analysis. Correlation based template matching technique is used for recognition of characters. This system is implemented using MATLAB7.4.0. The proposed system is mainly applicable to Indian License Plates.

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Vehicle license plate localization using wavelets

Cited by 17 publications

References 16 publications

Real-time search-free multiple license plate recognition via likelihood estimation of saliency

Real-time search-free multiple license plate recognition via likelihood estimation of saliency

Improved license plate localisation algorithm based on morphological operations

An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm

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