Robust License Plate Recognition With Shared Adversarial Training Network.

IEEE Access(2020)

引用 12|浏览45
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摘要
Recently, deep learning has greatly promoted the performance of license plate recognition (LPR) by learning robust features from numerous labeled data. However, the large variation of wild license plates across complicated environments and perspectives is still a huge challenge to the robust LPR. To solve the problem, we propose an effective and efficient shared adversarial training network (SATN)...
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关键词
Licenses,Training,Semantics,Feature extraction,Generative adversarial networks,Standards,Distortion
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