The recognition of car license plate for automatic parking system

Sirithinaphong, T.; Chamnongthai, Kosin

doi:10.1109/isspa.1999.818210

Cited by 64 publications

(31 citation statements)

References 3 publications

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“…Colors and shapes of the objects are among the most popular features that are utilized [7,11,10]. Some systems [9] change the color space to find more robust representations.…”

Section: Licence Plate Localizationmentioning

confidence: 99%

Localization Techniques in ANPR Systems: A-State-of-Art

Rana¹,

Dahiya²

2017

IJARCSSE

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Abstract-Automated License Plate Recognition (ALPR) is used to detect, recognize a vehicle license plate. ALPR comprises of three stages namely localization, segmentation, and character recognition. This paper discusses various localization techniques and compare their performance on similar parameters. License plate Localization using signature analysis provides additional accuracy of 2% respect to other techniques stated in this paper.

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“…Colors and shapes of the objects are among the most popular features that are utilized [7,11,10]. Some systems [9] change the color space to find more robust representations.…”

Section: Licence Plate Localizationmentioning

confidence: 99%

Localization Techniques in ANPR Systems: A-State-of-Art

Rana¹,

Dahiya²

2017

IJARCSSE

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“…The major advancement of this paper is the image enhancement process by distribution of pixel intensity using normalization algorithm. Thanongsak Sirithinaphong and Kosin Chamnongthai [7] proposes the recognition of car license plate with high accuracy and robustness to environmental variation by using the car's license plate patterns according to motor vehicle regulation and a 4-layer BP neural network with supervised learning. The neural network learns from the normalised character pattern available from training sets.…”

Section: IImentioning

confidence: 99%

Retrieval of Anomaly Details Using Vehicle Number Plate Identification for Traffic Guards

Rao.J¹,

Monish²,

Prabhu³

et al. 2017

IJAERS

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“…At present, the technical means of license plate recognition, automatic calculation of fee and parking detection have been widely used by intelligent parking lots [2], which have improved the efficiency of parking to a certain extent. But the predominant means of toll collection is still by cash.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Non-stop Toll Collection System for Parking Lot Based on Mobile Intelligent Terminal

Zhang¹,

Wen²,

Sun³

2016

dtcse

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Abstract. This paper firstly discusses the low efficiency of current toll collection ways, then leads to a non-stop toll collection system and describes its architecture, after that the paper introduces the non-stop toll collection system in detail, and shows how the reliability and robustness of this system is ensured. Also, the test cases are showed, from which we can draw conclusion that this toll collection system can apparently improve the efficiency of current intelligent parking lot systems.

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The recognition of car license plate for automatic parking system

Cited by 64 publications

References 3 publications

Localization Techniques in ANPR Systems: A-State-of-Art

Localization Techniques in ANPR Systems: A-State-of-Art

Retrieval of Anomaly Details Using Vehicle Number Plate Identification for Traffic Guards

Design and Implementation of Non-stop Toll Collection System for Parking Lot Based on Mobile Intelligent Terminal

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