Face recognition method based on improved mobile NetV3

Abstract

The invention provides a face recognition method based on improved mobile NetV3. The face recognition method comprises the following steps of S1, performing face detection and feature point detectionon an image; S2, performing face alignment by utilizing the detected face feature points; S3, making the aligned images and labels into a training set; and S4, building a network structure, changing the final pooling layer of the network into a convolution layer, and reducing the expansion multiple of the channel. According to the face recognition method based on the improved mobile NetV3, the recognition rate can be improved through the improved mobile NetV3 method in entrance and exit and video monitoring application, and accurate and rapid face recognition is achieved.

Description

technical field

[0001] The invention belongs to the technical field of biological feature recognition, and in particular relates to a face recognition method based on an improved mobileNetV3. Background technique

[0002] Biometric identification technology has developed rapidly in recent decades. As one of the current popular biometric identification technologies, face recognition has the characteristics of directness, friendliness and convenience. Users do not have any psychological barriers and are easily accepted by users, so they have been widely researched and applied. Although face recognition is widely used, there is a problem of low recognition rate in the industry. There is an urgent need for a face recognition method with high accuracy and rapidity. Contents of the invention

[0003] In view of this, the present invention aims to overcome the above-mentioned defects in the prior art, and proposes.

[0004] In order to achieve the above object, technical soluti...

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