基于神经网络的指纹快速匹配识别方法研究

Research on fast fingerprint matching recognition way based on neural network

目前的考勤签到方式虽然逐渐代替了传统的方法,但还是需要有限数据的传输,考勤算法复杂,需要布线和接口,非常费时。文章基于神经网络识别算法,利用滤波特征和不变矩直接线性变换的特点,设计了一个简单快速的考勤算法。实验证明,基于神经网络的指纹快速匹配识别方法的研究具有重要的应用价值。

Although the current attendance check-in method has gradually replaced traditional methods,it still requires limited data transmission,complex attendance algorithms,wiring and interfaces,and is very time-consuming.The article is based on neural network recognition algorithms,utilizing the characteristics of filtering features and direct linear transformation of invariant moments to design a simple and fast attendance algorithm.Experiments have shown that the research on fast fingerprint matching and recognition methods based on neural networks has important application value.