- 专利标题: METHOD FOR RECOGNIZING LICENSE PLATE CHARACTERS, ELECTRONIC DEVICE AND STORAGE MEDIUM
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申请号: US17914993申请日: 2021-02-02
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公开(公告)号: US20230154210A1公开(公告)日: 2023-05-18
- 发明人: Yanting HUANG , Kai WANG , Hongxiang XU , Wentao LU
- 申请人: Hefei BOE Display Technology Co., Ltd. , BOE Technology Group Co., Ltd.
- 申请人地址: CN Hefei, Anhui
- 专利权人: Hefei BOE Display Technology Co., Ltd.,BOE Technology Group Co., Ltd.
- 当前专利权人: Hefei BOE Display Technology Co., Ltd.,BOE Technology Group Co., Ltd.
- 当前专利权人地址: CN Hefei, Anhui
- 优先权: CN 2010234926.2 2020.03.30
- 国际申请: PCT/CN2021/074915 2021.02.02
- 进入国家日期: 2022-09-27
- 主分类号: G06V20/62
- IPC分类号: G06V20/62 ; G06V10/24 ; G06V10/77 ; G06V10/82 ; G06V10/764 ; G06N3/0464
摘要:
A license plate character recognition method and apparatus, an electronic device, and a storage medium. The method comprises: after obtaining a vehicle image captured by an image capturing device, positioning a vehicle plate area in the vehicle image to obtain a license plate image, and performing feature extraction on the license plate image by means of a convolutional neural network comprising a residual network structure. Gradient vanishing is effectively avoided and feature loss in a convolutional process of the convolutional neural network is reduced, so that a bidirectional recurrent neural network model can accurately recognize license plate characters in the license plate image on the basis of feature information of the license plate image. Therefore, character segmentation for a license plate is not needed, license plate characters on the license plate can be obtained by directly recognizing the whole license plate, segmentation and separate recognition for the license plate characters are avoided, and the recognition speed and the recognition accuracy are improved.
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