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Vehicle License Plate Localization and License Number Recognition Using Unit-Linking Pulse Coupled Neural Network

机译:单元链接脉冲耦合神经网络的车牌定位与车牌号识别

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In this paper, Unit-linking Pulse Coupled Neural Network (U-PCNN) is applied in vehicle license Plate Localization (PL) and license Number Recognition (NR) being part of optical character recognition(OCR). PL and NR are cores of License Plate Recognition (LPR) system. In PL, firstly, the proposed algorithm based on U-PCNN edge detection highlights plate regions, and then using those results obtains plate locations. In NR, employing U-PCNN extracts features of license number. The experimental results show that the license plates properly extracted were 224 over 233 input images (96.137%) and the NR accuracy is 96.67%.
机译:在本文中,单元链接脉冲耦合神经网络(U-PCNN)被应用在车牌定位(PL)和车牌号码识别(NR)作为光学字符识别(OCR)的一部分。 PL和NR是车牌识别(LPR)系统的核心。在PL中,首先,基于U-PCNN边缘检测的算法将突出显示板块区域,然后使用这些结果获得板块位置。在NR中,使用U-PCNN提取许可证编号的功能。实验结果表明,正确提取的车牌为233个输入图像中的224个(96.137%),NR准确度为96.67%。

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