EDF-LPR: a new encoder–decoder framework for license plate recognition

Although automatic license plate recognition (ALPR) has been studied for decades, the final recognition result can be accurate only if the license plate is detected and the standard format is unambiguous. However, since an image may contain license plates with different formats and scales, license p...

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Veröffentlicht in:	IET intelligent transport systems Jg. 14; H. 8; S. 959 - 969
Hauptverfasser:	Gao, Fei, Cai, Yichao, Ge, Yisu, Lu, Shufang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.08.2020
Schlagworte:	accurate candidate characters ALPR codec framework automatic license plate recognition candidate license plate characters character recognition decoding detection rate EDF‐LPR edge detection encoder–decoder framework feature extraction final recognition result image recognition image segmentation learning (artificial intelligence) license plate detection object detection object recognition pattern clustering recognition rate Research Article standard format classification traffic engineering computing object recognition standard format classification detection rate object detection character recognition traffic engineering computing decoding EDF-LPR automatic license plate recognition encoder–decoder framework pattern clustering final recognition result image segmentation feature extraction accurate candidate characters license plate detection edge detection learning (artificial intelligence) image recognition ALPR codec framework candidate license plate characters recognition rate
ISSN:	1751-956X, 1751-9578
Online-Zugang:	Volltext
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