Face recognition method based on caffe deep learning framework

Abstract

The invention discloses a face recognition method based on a caffe deep learning framework. The face recognition method comprises the following steps: step (1), establishing a face recognition database; step (2), preprocessing the database image; step (3), establishing a convolutional neural network by using a caffe framework; step (4) training a deep neural network model by using a caffe-based parallel framework; and step (5) calling the trained caffe model for testing. According to the method, on the basis of a caffe framework-based deep learning framework, appropriate model parameters can be better and faster trained under an improved neural network model, and parallel computing pictures are used in the recognition process, so that the recognition efficiency under the condition of a large amount of data is greatly improved.

Description

technical field [0001] The invention relates to the fields of computer vision and artificial intelligence, in particular to a face recognition method based on a caffe deep learning framework. Background technique [0002] In recent years, the continuous optimization and progress of computer vision technology and artificial intelligence technology have brought many conveniences to human life, especially the face recognition technology based on such technology has also been continuously developed. The early application of face recognition was mainly to solve crimes, and later it was mostly used in places with low security requirements such as mobile phone unlocking. Nowadays, face recognition has been widely used in various fields of human life such as education, finance, and justice. [0003] The Caffe framework is an open source software framework, which provides a basic programming framework, or a template framework, to implement algorithms such as deep convolutional neura...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art, aiming at the complex network structure, slow recognition speed, low recognition degree and weak robustness of the face recognition method existing in the prior art, and to provide a A face recognition method based on the caffe deep learning framework, which can realize faster and more accurate face recognition under the condition of a simple network structure

Images