A license plate detection and character segmentation method under difficult conditions

Itay Benou; Rotem Yochanan

doi:10.1109/EEEI.2012.6376951

A license plate detection and character segmentation method under difficult conditions

Itay Benou, Rotem Yochanan

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

3 Scopus citations

Abstract

This paper presents a novel frame-by-frame license plate detection and character segmentation method for security applications. The system is based on edge statistics, mathematical morphology and typical license plate grayscale pattern. The system locates and extracts Israeli license plates from a grayscale video which was recorded under difficult illumination conditions. While existing systems usually operate in a lenient environment, the proposed system works under highly complex conditions. The system consists of three stages: 1) Extraction of the region of interest (ROI). 2) License plate search and classification of possible candidates. 3) Character segmentation. The system was tested on a video data containing 4668 frames, and achieved a success rate of 86.6%.

Original language	English
Title of host publication	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs	https://doi.org/10.1109/EEEI.2012.6376951
State	Published - 1 Dec 2012
Externally published	Yes
Event	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel Duration: 14 Nov 2012 → 17 Nov 2012

Publication series

Name	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference	2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/Territory	Israel
City	Eilat
Period	14/11/12 → 17/11/12

Keywords

character segmentation
license plate detection

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EEEI.2012.6376951

Cite this

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title = "A license plate detection and character segmentation method under difficult conditions",

abstract = "This paper presents a novel frame-by-frame license plate detection and character segmentation method for security applications. The system is based on edge statistics, mathematical morphology and typical license plate grayscale pattern. The system locates and extracts Israeli license plates from a grayscale video which was recorded under difficult illumination conditions. While existing systems usually operate in a lenient environment, the proposed system works under highly complex conditions. The system consists of three stages: 1) Extraction of the region of interest (ROI). 2) License plate search and classification of possible candidates. 3) Character segmentation. The system was tested on a video data containing 4668 frames, and achieved a success rate of 86.6%.",

keywords = "character segmentation, license plate detection",

author = "Itay Benou and Rotem Yochanan",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/EEEI.2012.6376951",

language = "English",

isbn = "9781467346801",

series = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012",

booktitle = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012",

note = "2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 ; Conference date: 14-11-2012 Through 17-11-2012",

}

Benou, I & Yochanan, R 2012, A license plate detection and character segmentation method under difficult conditions. in 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012., 6376951, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012, 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012, Eilat, Israel, 14/11/12. https://doi.org/10.1109/EEEI.2012.6376951

A license plate detection and character segmentation method under difficult conditions. / Benou, Itay; Yochanan, Rotem.
2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012. 2012. 6376951 (2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012).

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

TY - GEN

T1 - A license plate detection and character segmentation method under difficult conditions

AU - Benou, Itay

AU - Yochanan, Rotem

PY - 2012/12/1

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N2 - This paper presents a novel frame-by-frame license plate detection and character segmentation method for security applications. The system is based on edge statistics, mathematical morphology and typical license plate grayscale pattern. The system locates and extracts Israeli license plates from a grayscale video which was recorded under difficult illumination conditions. While existing systems usually operate in a lenient environment, the proposed system works under highly complex conditions. The system consists of three stages: 1) Extraction of the region of interest (ROI). 2) License plate search and classification of possible candidates. 3) Character segmentation. The system was tested on a video data containing 4668 frames, and achieved a success rate of 86.6%.

AB - This paper presents a novel frame-by-frame license plate detection and character segmentation method for security applications. The system is based on edge statistics, mathematical morphology and typical license plate grayscale pattern. The system locates and extracts Israeli license plates from a grayscale video which was recorded under difficult illumination conditions. While existing systems usually operate in a lenient environment, the proposed system works under highly complex conditions. The system consists of three stages: 1) Extraction of the region of interest (ROI). 2) License plate search and classification of possible candidates. 3) Character segmentation. The system was tested on a video data containing 4668 frames, and achieved a success rate of 86.6%.

KW - character segmentation

KW - license plate detection

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M3 - Conference contribution

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SN - 9781467346801

T3 - 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

BT - 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

T2 - 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Y2 - 14 November 2012 through 17 November 2012

ER -

A license plate detection and character segmentation method under difficult conditions

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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