摘要： 针对车牌字符在车牌图象质量退化时识别率较低以及识别时间较长的问题，提出一种基于量子神经计算的车牌字符识别方法。该方法将通用量子门组作为神经网络的激活函数来实现量子神经计算，同时把字符的粗网格特征作为字符的识别特征进行车牌字符识别。实验结果表明，该方法能有效提高“带噪”车牌的识别率以及抗干扰能力。

关键词: 量子神经网络, 量子门, 车牌字符识别

Abstract: Aiming at the problem of lower recognition rate and longer recognition time for license plate character when the license plate image quality degenerates, a license plate character recognition method based on quantum neural computation is proposed. This method implements quantum neural computation by making universal quantum gate as neural network’s activation function, and chooses the rough grid feature of the plate as the character recognition feature to conduct license plate character recognition. Experimental results show this method can improve noisy license plate recognition rate and anti-interference ability effectively.

Key words: quantum neural network, quantum gate, license plate character recognition

中图分类号: 

• TP301.6