2023
DOI: 10.32604/cmc.2023.032785
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License Plate Recognition via Attention Mechanism

Abstract: License plate recognition technology use widely in intelligent traffic management and control. Researchers have been committed to improving the speed and accuracy of license plate recognition for nearly 30 years. This paper is the first to propose combining the attention mechanism with YOLO-v5 and LPRnet to construct a new license plate recognition model (LPR-CBAM-Net). Through the attention mechanism CBAM (Convolutional Block Attention Module), the importance of different feature channels in license plate rec… Show more

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Cited by 3 publications
(1 citation statement)
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“…The connection temporal classification (CTC) method, proposed within the realm of deep learning, serves as a valuable tool for classifying and labeling sequence data. Specifically designed to handle sequences of diverse lengths, CTC plays a pivotal role in mapping input sequences to output sequences, allowing for the existence of unaligned states between the input and output data [19]. Consequently, CTC offers substantial advantages in addressing sequence-labeling challenges associated with varying sequence lengths.…”
Section: Connecting Temporal Classificationmentioning
confidence: 99%
“…The connection temporal classification (CTC) method, proposed within the realm of deep learning, serves as a valuable tool for classifying and labeling sequence data. Specifically designed to handle sequences of diverse lengths, CTC plays a pivotal role in mapping input sequences to output sequences, allowing for the existence of unaligned states between the input and output data [19]. Consequently, CTC offers substantial advantages in addressing sequence-labeling challenges associated with varying sequence lengths.…”
Section: Connecting Temporal Classificationmentioning
confidence: 99%