A Vehicle License Plate Detection Scheme Using Spatial Attentions for Improving Detection Accuracy in Real-Road Situations (실제도로 상황에서 탐지 정확도 개선을 위해 공간적 집중을 사용하는 차량 번호판 탐지 기법)

LEE SANG WON (이상원); CHOI BUM SUK (최범석); YOO SUNG KIM (김유성)

doi:10.9708/jksci.2021.26.01.093

A Vehicle License Plate Detection Scheme Using Spatial Attentions for Improving Detection Accuracy in Real-Road Situations

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(1), pp.93-101
DOI : 10.9708/jksci.2021.26.01.093
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : December 28, 2020
Accepted : January 20, 2021
Published : January 29, 2021

LEE SANG WON ¹, CHOI BUM SUK ², YOO SUNG KIM ¹

¹인하대학교
²한국전자통신연구원

Accredited

ABSTRACT

In this paper, a vehicle license plate detection scheme is proposed that uses the spatial attention areas to detect accurately the license plates in various real-road situations. First, the previous WPOD-NET was analyzed, and its detection accuracy is evaluated as lower due to the unnecessary noises in the wide detection candidate areas. To resolve this problem, a vehicle license plate detection model is proposed that uses the candidate area of the license plate as a spatial attention areas. And we compared its performance to that of the WPOD-NET, together with the case of using the optimal spatial attention areas using the ground truth data. The experimental results show that the proposed model has about 20% higher detection accuracy than the original WPOD-NET since the proposed scheme uses tight detection candidate areas.

KEYWORDS

Vehicle License Plate Detection, Realtime Object Detection, Spatial Attention Areas, Real-road Situations, Improving Detection Accuracy

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Vehicle License Plate Detection Scheme Using Spatial Attentions for Improving Detection Accuracy in Real-Road Situations

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Vehicle License Plate Detection Scheme Using Spatial Attentions for Improving Detection Accuracy in Real-Road Situations

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.