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Vehicle-license-plate recognition based on neural networks

机译:基于神经网络的车牌识别

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A license plate recognition system based on neural networks was designed and developed. The system used a neural-network chip to recognize license plates. The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm. A set of interface circuit was developed for implementing license-plate-number recognition. Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.
机译:设计并开发了基于神经网络的车牌识别系统。该系统使用神经网络芯片来识别车牌。该芯片采用均衡图像处理算法和网络分类算法,将视频图像处理模块与神经网络模块相结合。开发了一组接口电路以实现车牌号识别。实验结果表明,该系统可以在可接受的识别时间内保证极低的错误率。

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