Accuracy enhancement for license plate recognition

Lihong Zheng; Xiangjian He; Bijan Samali; Laurence T. Yang

doi:10.1109/CIT.2010.111

Accuracy enhancement for license plate recognition

Lihong Zheng, Xiangjian He, Bijan Samali, Laurence T. Yang

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

21 Citations (Scopus)

Abstract

Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition, it is crucial to correctly remove the license plate boundaries after the step for license plate detection. No matter which OCRs are used, the recognition accuracy will be significantly reduced if the boundaries are not properly removed. This paper presents an efficient algorithm for non character area removal. The algorithm is based on the license plates detected using an AdaBoost algorithm. Then it follows the steps of character height estimation, character width estimation, segmentation and block identification. The algorithm is efficient and can be applied in real-time applications. The experiments are performed using OCR software for character recognition. It is shown that much higher recognition accuracy is obtained by gradually removing the license plate boundaries.

Original language	English
Title of host publication	Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010
Pages	511-516
Number of pages	6
DOIs	https://doi.org/10.1109/CIT.2010.111
Publication status	Published - 2010
Externally published	Yes
Event	10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010 - Bradford, United Kingdom Duration: 29 Jun 2010 → 1 Jul 2010

Publication series

Name	Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010

Conference

Conference	10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010
Country/Territory	United Kingdom
City	Bradford
Period	29/06/10 → 1/07/10

Keywords

Blob extraction
CCA
Image segmentation
LPR

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Networks and Communications
Software

Access to Document

10.1109/CIT.2010.111

Cite this

Zheng, L., He, X., Samali, B., & Yang, L. T. (2010). Accuracy enhancement for license plate recognition. In Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010 (pp. 511-516). Article 5578147 (Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010). https://doi.org/10.1109/CIT.2010.111

Zheng, Lihong ; He, Xiangjian ; Samali, Bijan et al. / Accuracy enhancement for license plate recognition. Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010. 2010. pp. 511-516 (Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010).

@inproceedings{19e0fadce3bc48fe95002bbeba5d6db7,

title = "Accuracy enhancement for license plate recognition",

abstract = "Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition, it is crucial to correctly remove the license plate boundaries after the step for license plate detection. No matter which OCRs are used, the recognition accuracy will be significantly reduced if the boundaries are not properly removed. This paper presents an efficient algorithm for non character area removal. The algorithm is based on the license plates detected using an AdaBoost algorithm. Then it follows the steps of character height estimation, character width estimation, segmentation and block identification. The algorithm is efficient and can be applied in real-time applications. The experiments are performed using OCR software for character recognition. It is shown that much higher recognition accuracy is obtained by gradually removing the license plate boundaries.",

keywords = "Blob extraction, CCA, Image segmentation, LPR",

author = "Lihong Zheng and Xiangjian He and Bijan Samali and Yang, {Laurence T.}",

year = "2010",

doi = "10.1109/CIT.2010.111",

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isbn = "9780769541082",

series = "Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010",

pages = "511--516",

booktitle = "Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010",

note = "10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010 ; Conference date: 29-06-2010 Through 01-07-2010",

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Zheng, L, He, X, Samali, B & Yang, LT 2010, Accuracy enhancement for license plate recognition. in Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010., 5578147, Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010, pp. 511-516, 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010, Bradford, United Kingdom, 29/06/10. https://doi.org/10.1109/CIT.2010.111

Accuracy enhancement for license plate recognition. / Zheng, Lihong; He, Xiangjian; Samali, Bijan et al.
Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010. 2010. p. 511-516 5578147 (Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010).

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

TY - GEN

T1 - Accuracy enhancement for license plate recognition

AU - Zheng, Lihong

AU - He, Xiangjian

AU - Samali, Bijan

AU - Yang, Laurence T.

PY - 2010

Y1 - 2010

N2 - Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition, it is crucial to correctly remove the license plate boundaries after the step for license plate detection. No matter which OCRs are used, the recognition accuracy will be significantly reduced if the boundaries are not properly removed. This paper presents an efficient algorithm for non character area removal. The algorithm is based on the license plates detected using an AdaBoost algorithm. Then it follows the steps of character height estimation, character width estimation, segmentation and block identification. The algorithm is efficient and can be applied in real-time applications. The experiments are performed using OCR software for character recognition. It is shown that much higher recognition accuracy is obtained by gradually removing the license plate boundaries.

AB - Automatic License Plate Recognition is useful for real time traffic management and surveillance. License plate recognition usually contains two steps, namely license plate detection/localization and character recognition. Recognizing characters in a license plate is a very difficult task due to poor illumination conditions and rapid motion of vehicles. When using an OCR for character recognition, it is crucial to correctly remove the license plate boundaries after the step for license plate detection. No matter which OCRs are used, the recognition accuracy will be significantly reduced if the boundaries are not properly removed. This paper presents an efficient algorithm for non character area removal. The algorithm is based on the license plates detected using an AdaBoost algorithm. Then it follows the steps of character height estimation, character width estimation, segmentation and block identification. The algorithm is efficient and can be applied in real-time applications. The experiments are performed using OCR software for character recognition. It is shown that much higher recognition accuracy is obtained by gradually removing the license plate boundaries.

KW - Blob extraction

KW - CCA

KW - Image segmentation

KW - LPR

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M3 - Conference contribution

AN - SCOPUS:78249235347

SN - 9780769541082

T3 - Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010

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BT - Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010

T2 - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

Y2 - 29 June 2010 through 1 July 2010

ER -

Zheng L, He X, Samali B, Yang LT. Accuracy enhancement for license plate recognition. In Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010. 2010. p. 511-516. 5578147. (Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010). doi: 10.1109/CIT.2010.111

Accuracy enhancement for license plate recognition

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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