Effective character segmentation for license plate recognition under illumination changing environment

Daehun Kim; Taeyup Song; Younghyun Lee; Hanseok Ko

doi:10.1109/ICCE.2016.7430718

Effective character segmentation for license plate recognition under illumination changing environment

Daehun Kim, Taeyup Song, Younghyun Lee, Hanseok Ko

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

14 Citations (Scopus)

Abstract

In this paper, we propose a novel image segmentation algorithm for license plate recognition (LPR) in video based traffic surveillance system. The license plate character segmentation is most important procedure in LPR system. However, in real situation, the character segmentation algorithms are challenged by drastic performance decrease due to sudden local illumination changes, especially when the color of characters is similar to that of background in LP. To mitigate this problem, we introduce a novel LP character segmentation algorithm by employing an adaptive binarization method using super-pixel based degeneracy factor. The proposed method demonstrates a significant improvement over conventional methods.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	532-533
Number of pages	2
ISBN (Print)	9781467383646
DOIs	https://doi.org/10.1109/ICCE.2016.7430718
Publication status	Published - 2016 Mar 10
Event	IEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States Duration: 2016 Jan 7 → 2016 Jan 11

Other

Other	IEEE International Conference on Consumer Electronics, ICCE 2016
Country/Territory	United States
City	Las Vegas
Period	16/1/7 → 16/1/11

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE.2016.7430718

Cite this

Effective character segmentation for license plate recognition under illumination changing environment. / Kim, Daehun; Song, Taeyup; Lee, Younghyun et al.
2016 IEEE International Conference on Consumer Electronics, ICCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 532-533 7430718.

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

Kim, D, Song, T, Lee, Y & Ko, H 2016, Effective character segmentation for license plate recognition under illumination changing environment. in 2016 IEEE International Conference on Consumer Electronics, ICCE 2016., 7430718, Institute of Electrical and Electronics Engineers Inc., pp. 532-533, IEEE International Conference on Consumer Electronics, ICCE 2016, Las Vegas, United States, 16/1/7. https://doi.org/10.1109/ICCE.2016.7430718

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abstract = "In this paper, we propose a novel image segmentation algorithm for license plate recognition (LPR) in video based traffic surveillance system. The license plate character segmentation is most important procedure in LPR system. However, in real situation, the character segmentation algorithms are challenged by drastic performance decrease due to sudden local illumination changes, especially when the color of characters is similar to that of background in LP. To mitigate this problem, we introduce a novel LP character segmentation algorithm by employing an adaptive binarization method using super-pixel based degeneracy factor. The proposed method demonstrates a significant improvement over conventional methods.",

author = "Daehun Kim and Taeyup Song and Younghyun Lee and Hanseok Ko",

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N2 - In this paper, we propose a novel image segmentation algorithm for license plate recognition (LPR) in video based traffic surveillance system. The license plate character segmentation is most important procedure in LPR system. However, in real situation, the character segmentation algorithms are challenged by drastic performance decrease due to sudden local illumination changes, especially when the color of characters is similar to that of background in LP. To mitigate this problem, we introduce a novel LP character segmentation algorithm by employing an adaptive binarization method using super-pixel based degeneracy factor. The proposed method demonstrates a significant improvement over conventional methods.

AB - In this paper, we propose a novel image segmentation algorithm for license plate recognition (LPR) in video based traffic surveillance system. The license plate character segmentation is most important procedure in LPR system. However, in real situation, the character segmentation algorithms are challenged by drastic performance decrease due to sudden local illumination changes, especially when the color of characters is similar to that of background in LP. To mitigate this problem, we introduce a novel LP character segmentation algorithm by employing an adaptive binarization method using super-pixel based degeneracy factor. The proposed method demonstrates a significant improvement over conventional methods.

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Effective character segmentation for license plate recognition under illumination changing environment

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