A Neural Network-Based Face Recognition and Local Encryption Method on Intelligent Cloud Platform

Abstract

The invention discloses an intelligent cloud platform face recognition and local encryption method based on a neural network. The method comprises the steps of processing an original image through animage pyramid; establishing a face / non-face classifier, and outputting a large number of results which may be face classification, boundary frame regression and face position; carrying out bounding box regression, refining the candidate windows, and discarding a large number of overlapped windows; carrying out landmark positioning, removing a candidate window and displaying five face key point positioning at the same time; and encrypting the data through a chaotic logic diagram and an RC4 stream password. A local encryption mode is adopted, so that the picture encryption time is shortened, andthe encryption efficiency is greatly improved.

Description

Technical field

[0001] The invention relates to a face recognition and local encryption method, in particular to a neural network-based intelligent cloud platform face recognition and local encryption method. Background technique

[0002] With the rapid development of the Internet and cloud storage technology, the wide application of big data and the popularization of smart terminals, the concept of synchronization and backup has gradually penetrated into people’s work and life. Users can store and store data on various smart terminal devices. To manage data, in order to prevent data loss on terminal devices, users hope to back up data to a safe place, making it more convenient for users to access their own data on different terminal devices. Smart cloud services allow mobile phones and the cloud to synchronize cloud data such as address books, short messages, and photos. However, with the increase of personal information data, the leakage of cloud data by hacker attacks and oth...

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