Edge detection comparison for license plate detection

Zoe Jeffrey; S. Ramalingam; N. Bekooy

doi:10.1109/ICARCV.2010.5707935

Edge detection comparison for license plate detection

Zoe Jeffrey, S. Ramalingam, N. Bekooy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

848 Downloads (Pure)

Abstract

The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected component analysis to extract license plate region. The experimental comparison of Canny, Kirsch, Rothwell, Sobel, Laplace and SUSAN edge detectors on gray scale images shows that Canny yields high plate detection of 98.2% tested on 45,032 UK images containing license plates at 720×288 resolution captured under various illumination conditions. The average processing time of one image is 56.4 ms.

Original language	English
Title of host publication	Procs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1133-1138
ISBN (Print)	978-1-4244-7814-9
DOIs	https://doi.org/10.1109/ICARCV.2010.5707935
Publication status	Published - 2010
Event	2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV) - Singapore, Singapore Duration: 7 Dec 2010 → 10 Dec 2010

Conference

Conference	2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)
Country/Territory	Singapore
City	Singapore
Period	7/12/10 → 10/12/10

Keywords

connected component analysis (CCA)
edge detection
license plate (LP)

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10.1109/ICARCV.2010.5707935

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“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”
Accepted author manuscript, 630 KB

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title = "Edge detection comparison for license plate detection",

abstract = "The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected component analysis to extract license plate region. The experimental comparison of Canny, Kirsch, Rothwell, Sobel, Laplace and SUSAN edge detectors on gray scale images shows that Canny yields high plate detection of 98.2% tested on 45,032 UK images containing license plates at 720×288 resolution captured under various illumination conditions. The average processing time of one image is 56.4 ms.",

keywords = "connected component analysis (CCA), edge detection, license plate (LP)",

author = "Zoe Jeffrey and S. Ramalingam and N. Bekooy",

note = "“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.{"} “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”; 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV) ; Conference date: 07-12-2010 Through 10-12-2010",

year = "2010",

doi = "10.1109/ICARCV.2010.5707935",

language = "English",

isbn = "978-1-4244-7814-9",

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booktitle = "Procs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

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Jeffrey, Z , Ramalingam, S & Bekooy, N 2010, Edge detection comparison for license plate detection. in Procs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV). Institute of Electrical and Electronics Engineers (IEEE), pp. 1133-1138, 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV), Singapore, Singapore, 7/12/10. https://doi.org/10.1109/ICARCV.2010.5707935

TY - GEN

T1 - Edge detection comparison for license plate detection

AU - Jeffrey, Zoe

AU - Ramalingam, S.

AU - Bekooy, N.

N1 - “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

PY - 2010

Y1 - 2010

N2 - The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected component analysis to extract license plate region. The experimental comparison of Canny, Kirsch, Rothwell, Sobel, Laplace and SUSAN edge detectors on gray scale images shows that Canny yields high plate detection of 98.2% tested on 45,032 UK images containing license plates at 720×288 resolution captured under various illumination conditions. The average processing time of one image is 56.4 ms.

AB - The detection of license plate region is the most important part of a vehicle's license plate recognition process followed by plate segmentation and optical character recognition. Edge detection is commonly used in license plate detection as a preprocessing technique. This paper compares the performance of the image enhancement filters when used in edge detection algorithms combined with connected component analysis to extract license plate region. The experimental comparison of Canny, Kirsch, Rothwell, Sobel, Laplace and SUSAN edge detectors on gray scale images shows that Canny yields high plate detection of 98.2% tested on 45,032 UK images containing license plates at 720×288 resolution captured under various illumination conditions. The average processing time of one image is 56.4 ms.

KW - connected component analysis (CCA)

KW - edge detection

KW - license plate (LP)

U2 - 10.1109/ICARCV.2010.5707935

DO - 10.1109/ICARCV.2010.5707935

M3 - Conference contribution

SN - 978-1-4244-7814-9

SP - 1133

EP - 1138

BT - Procs of the 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2010 11th Int Conf on Control Automation Robotics & Vision (ICARCV)

Y2 - 7 December 2010 through 10 December 2010

ER -

Edge detection comparison for license plate detection

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