基于神经网络的硬币识别与分拣系统
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摘要
提出基于神经网络的硬币识别与分拣系统的设计方法。硬币传输过程中,根据金属特性的不同利用电涡流技术完成真伪识别;硬币原始图像采集后经灰度变换、中值滤波降噪,由胡氏几何不变矩提取硬币图像特征,将该特征作为三层BP神经网络的输入,实现硬币面值识别。实验表明该设计的硬币识别与分拣系统,能够完成对硬币真伪及币值的分辨,识别速度快,识别精度高,具有应用价值。
The coins recognition and sorting system based on BP-Net is put forward. Using electric eddy current sensors for non-contact detection and putting the non-electric quantity into electrical signals, false coin can be picked out. The original image of the coin was transformed by grayscale and denoised by median filtering, its features were extracted by Hu's geometric invariant moment, used as the input of three-layer backpropagation neural network, and the face value of the coin could be identified. Experiments show that the designed coin recognition and sorting system can recognize the authenticity and face value of the coins. The system has fast recognition speed, high recognition accuracy and application value.
The coins recognition and sorting system based on BP-Net is put forward. Using electric eddy current sensors for non-contact detection and putting the non-electric quantity into electrical signals, false coin can be picked out. The original image of the coin was transformed by grayscale and denoised by median filtering, its features were extracted by Hu's geometric invariant moment, used as the input of three-layer backpropagation neural network, and the face value of the coin could be identified. Experiments show that the designed coin recognition and sorting system can recognize the authenticity and face value of the coins. The system has fast recognition speed, high recognition accuracy and application value.
引文
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[7]李林,魏新华,朱文静,等.宽幅施药机械机器视觉辅助导航系统研究[J].农业机械学报,2015,46(9):28-33.
[2]鲁彦玉,刘振兴.基于金属多特征联合的硬币识别器设计[J].计算机应用与软件,2015,32(11):222-225.
[3]刘艺柱,杨瑞兰.采用滑动平均滤波法提高硬币识别准确率的研究[J].制造业自动化,2010,32(1):42-44.
[4]李萍,徐安林.基于BP神经网络的智能制造系统图像识别技术[J].现代电子技术,2016,39(18):107-109.
[5]黄虎,汤惠.一种金属物体探测定位系统装置的设计[J].电子技术应用,2016,42(3):54-56.
[6]千承辉,龙云,王玉凌,等.基于AVR单片机的硬币识别系统设计[J].实验室科学,2012,15(5):59-62.
[7]李林,魏新华,朱文静,等.宽幅施药机械机器视觉辅助导航系统研究[J].农业机械学报,2015,46(9):28-33.