Age recognition system, method and device based on block chain

Abstract

The invention relates to an age recognition system, method and device based on a block chain. The method comprises the steps of obtaining multiple original image features, sent by at least one image acquisition device, of any object, wherein the original image features are extracted from a face image of the object by the image acquisition device, and the image acquisition device is a device in a distributed system where a server is located; performing feature fusion on the plurality of original image features to obtain target fusion features; determining a target age corresponding to the target fusion feature according to an age recognition model; and uploading the original image feature, the target fusion feature and the target age to a block chain to generate a target data block for storing the original image feature, the target fusion feature and the target age. According to the invention, through extracting multiple types of image features and carrying out feature fusion, the accuracy of an age prediction result is improved. And the distributed equipment is used for collecting images and extracting features, so that the problem of user privacy leakage is completely avoided.

Description

technical field [0001] The present application relates to the technical field of blockchain, in particular to a blockchain-based age identification system, method and device. Background technique [0002] Age estimation based on face images is an important biometric recognition technology, and it is also an important supplement to face detection and recognition related technologies. However, due to the interference of various factors such as angle changes, occlusion, and light in the face image, the results of age estimation are not accurate enough. Moreover, the user's face image may be stolen during the transmission process through the network, and user privacy is difficult to guarantee. [0003] At present, in related technologies, it is difficult to comprehensively obtain the image features of face images. The lack of features and omissions cause inaccurate age recognition results. Moreover, the privacy and security of user images in transmission is to protect user priv...

AI Technical Summary

Problems solved by technology

However, due to the interference of various factors such as angle changes, occlusion, and light in the face image, the results of age estimation are not accurate enough

Moreover, the user's face image may be stolen during the transmission process through the network, and user privacy is difficult to guarantee

[0003] At present, in related technologies, it is difficult to comprehensively obtain the image features of face images. The lack of features and omissions cause inaccurate age recognition results. Moreover, the privacy and security of user images in transmission is to protect user privacy by encrypting data. , but where there is a shield, there is a spear, and encryption alone cannot completely solve the user's privacy and security issues

[0004] For the above problems, no effective solution has been proposed

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