A vein recognition method based on a reinforcement learning algorithm optimized convolution neural network

Abstract

The invention discloses a vein recognition method based on a reinforcement learning algorithm optimized convolution neural network, which utilizes the reinforcement learning algorithm to optimize theconvolution neural network to construct a vein recognition model. The vein recognition model includes a network exploration model based on reinforcement learning algorithm and a multi-layer convolution network evaluation model. The network exploration model includes an encoder, a linear layer, a nonlinear layer, a Softmax classification layer, a decoder and a reward evaluation module. The convolution network evaluation model includes a data input preprocessing layer, multiple normal convolution module layers and multiple compression convolution module layers spaced apart, a global pooling layer and a full connection layer, and finally outputs vein eigenvector. The vein recognition method based on a reinforcement learning algorithm optimized convolution neural network can get the highest evaluation model, so as to obtain a higher recognition accuracy.

Description

technical field [0001] The invention relates to the technical field of vein recognition, in particular to a vein recognition method based on a reinforcement learning algorithm to optimize a convolutional neural network. Background technique [0002] With the rapid development of the field of artificial intelligence, the use of computer vision and deep learning technology has achieved more and more outstanding performance in various recognition fields. Compared with traditional recognition methods, it has achieved better results in various directions such as image, language, and text. Effect. Currently, deep learning algorithms for image recognition are mainly convolutional neural networks. The convolutional neural network can learn high-level abstract features in various images through pre-learning. These features have a strong ability to distinguish, even small differences in images can be distinguished. Especially in feature extraction, convolutional neural network has b...

AI Technical Summary

Problems solved by technology

At the same time, there is still very little experience in network structure design that can be referred to in the field of vein recognition technology, and it is difficult to perform further optimization on the basis of the original model.

Images