A Single Neural Network for Mixed Style License Plate Detection and Recognition
Most existing methods for automatic license plate recognition (ALPR) focus on a specific license plate (LP) type, but little work focuses on multiple or mixed LPs. This article proposes a single neural network called ALPRNet for detection and recognition of mixed style LPs. In ALPRNet, two fully con...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9337806/ |
| _version_ | 1819175285218607104 |
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| author | Qiuying Huang Zhanchuan Cai Ting Lan |
| author_facet | Qiuying Huang Zhanchuan Cai Ting Lan |
| author_sort | Qiuying Huang |
| collection | DOAJ |
| description | Most existing methods for automatic license plate recognition (ALPR) focus on a specific license plate (LP) type, but little work focuses on multiple or mixed LPs. This article proposes a single neural network called ALPRNet for detection and recognition of mixed style LPs. In ALPRNet, two fully convolutional one-stage object detectors are used to detect and classify LPs and characters simultaneously, which are followed by an assembly module to output the LP strings. ALPRNet treats LP and character equally, object detectors directly output bounding boxes of LPs and characters with corresponding labels, so they avoid the recurrent neural network (RNN) branches of optical character recognition (OCR) of the existing recognition approaches. We evaluate ALPRNet on a mixed LP style dataset and two datasets with single LP style, the experimental results show that the proposed network achieves state-of-the-art results with a simple one-stage network. |
| first_indexed | 2024-12-22T20:52:26Z |
| format | Article |
| id | doaj.art-7d800f3062624f90b9cc15498c946763 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:52:26Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7d800f3062624f90b9cc15498c9467632022-12-21T18:13:03ZengIEEEIEEE Access2169-35362021-01-019217772178510.1109/ACCESS.2021.30552439337806A Single Neural Network for Mixed Style License Plate Detection and RecognitionQiuying Huang0https://orcid.org/0000-0003-4870-7366Zhanchuan Cai1https://orcid.org/0000-0002-6954-7691Ting Lan2https://orcid.org/0000-0002-3553-4323Faculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaFaculty of Information Technology, Macau University of Science and Technology, Macau, ChinaMost existing methods for automatic license plate recognition (ALPR) focus on a specific license plate (LP) type, but little work focuses on multiple or mixed LPs. This article proposes a single neural network called ALPRNet for detection and recognition of mixed style LPs. In ALPRNet, two fully convolutional one-stage object detectors are used to detect and classify LPs and characters simultaneously, which are followed by an assembly module to output the LP strings. ALPRNet treats LP and character equally, object detectors directly output bounding boxes of LPs and characters with corresponding labels, so they avoid the recurrent neural network (RNN) branches of optical character recognition (OCR) of the existing recognition approaches. We evaluate ALPRNet on a mixed LP style dataset and two datasets with single LP style, the experimental results show that the proposed network achieves state-of-the-art results with a simple one-stage network.https://ieeexplore.ieee.org/document/9337806/ALPRNetlicense plate recognitionobject recognitionconvolutional neural network |
| spellingShingle | Qiuying Huang Zhanchuan Cai Ting Lan A Single Neural Network for Mixed Style License Plate Detection and Recognition IEEE Access ALPRNet license plate recognition object recognition convolutional neural network |
| title | A Single Neural Network for Mixed Style License Plate Detection and Recognition |
| title_full | A Single Neural Network for Mixed Style License Plate Detection and Recognition |
| title_fullStr | A Single Neural Network for Mixed Style License Plate Detection and Recognition |
| title_full_unstemmed | A Single Neural Network for Mixed Style License Plate Detection and Recognition |
| title_short | A Single Neural Network for Mixed Style License Plate Detection and Recognition |
| title_sort | single neural network for mixed style license plate detection and recognition |
| topic | ALPRNet license plate recognition object recognition convolutional neural network |
| url | https://ieeexplore.ieee.org/document/9337806/ |
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