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http://dx.doi.org/10.9708/jksci.2021.26.01.093

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

Lee, Sang-Won (Dept. of Information and Communication Eng., Inha University)
Choi, Bumsuk (Korea Electronics and Telecommunications Research Institute)
Kim, Yoo-Sung (Dept. of Information and Communication Eng., Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.26, no.1, 2021 , pp. 93-101 More about this Journal
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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