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Patent Searching and Data


Title:
DEEP LEARNING-BASED FACE RECOGNITION METHOD AND APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2021/012494
Kind Code:
A1
Abstract:
A deep learning-based face recognition method and apparatus and a computer-readable storage medium, which relate to artificial intelligence technology. The method comprises: obtaining face image data from a webpage on the basis of crawler technology, and constituting an original face image set (S1); extracting face features of the original face image set according to a Gabor filter to obtain a face feature set, and performing dimension reduction processing on the face feature set according to a down-sampling technique to form a face feature vector set (S2); inputting the face feature vector set into a pre-constructed convolutional neural network model for training until a loss function value in a convolutional neural network is smaller than a preset threshold, and then exiting training (S3); and receiving a user face picture, inputting the user face picture into the convolutional neural network for face recognition, and outputting a recognition result (S4). The described method may implement efficient and accurate face recognition.

Inventors:
HUANG QIUFENG (CN)
LI SHANSHAN (CN)
Application Number:
PCT/CN2019/116934
Publication Date:
January 28, 2021
Filing Date:
November 10, 2019
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
CN106127159A2016-11-16
CN106127159A2016-11-16
CN109272039A2019-01-25
CN107392183A2017-11-24
US20190205517A12019-07-04
Attorney, Agent or Firm:
SHENZHEN WORLD INTELLECTUAL PROPERTY AGENCY (GENERAL PARTNERSHIP ) (CN)
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