Title:
FINGER VEIN RECOGNITION METHOD AND APPARATUS, AND COMPUTER DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/211339
Kind Code:
A1
Abstract:
Disclosed are a finger vein recognition method and apparatus, and a computer device and a storage medium, relating to the field of artificial intelligence. The finger vein recognition method comprises: acquiring a finger vein image to be recognized and a finger vein image to be compared (S10); inputting the finger vein image to be recognized and the finger vein image to be compared into a finger vein recognition model, wherein the finger vein recognition model is obtained through training by using a Siamese neural network (S20); extracting, by means of the finger vein recognition model, a first feature vector related to the finger vein image to be recognized and a second feature vector related to the finger vein image to be compared (S30); and carrying out finger vein recognition according to the first feature vector and the second feature vector, and determining whether the finger vein image to be recognized and the finger vein image to be compared are from the same finger (S40). By means of the finger vein recognition method, finger vein image recognition can be carried out accurately.
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Inventors:
CHAO ZHONGDI (CN)
ZHUANG BOJIN (CN)
WANG SHAOJUN (CN)
ZHUANG BOJIN (CN)
WANG SHAOJUN (CN)
Application Number:
PCT/CN2019/116472
Publication Date:
October 22, 2020
Filing Date:
November 08, 2019
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
| CN110147732A | 2019-08-20 | |||
| CN107977609A | 2018-05-01 | |||
| US20120057011A1 | 2012-03-08 |
Other References:
DAI, QINGHUA ET AL.: "Finger vein recognition based on Siamese convolutional neural network", ELECTRONIC MEASUREMENT TECHNOLOGY, vol. 41, no. 24, 31 December 2018 (2018-12-31), DOI: 20200119193831X
SCHROFF, FLORIAN ET AL.: "FaceNet: A Unified Embedding for Face Recognition and Clustering", COMPUTER SCIENCE, 12 March 2015 (2015-03-12), XP055531522, DOI: 20200119194224A
SCHROFF, FLORIAN ET AL.: "FaceNet: A Unified Embedding for Face Recognition and Clustering", COMPUTER SCIENCE, 12 March 2015 (2015-03-12), XP055531522, DOI: 20200119194224A
Attorney, Agent or Firm:
UNI-INTEL PATENT AND TRADEMARK LAW FIRM (CN)
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