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Title:
APPARATUS, METHOD AND COMPUTER PROGRAM PRODUCT FOR BIOMETRIC RECOGNITION
Document Type and Number:
WIPO Patent Application WO/2019/056257
Kind Code:
A1
Abstract:
Method, apparatus, computer program product and computer readable medium are disclosed for biometric recognition. The method may comprise obtaining first biometric data, wherein the first biometric data is captured in first condition or non-first condition; determining, by a discriminative network of generative adversarial networks, whether the first biometric data is captured in the first condition or non-first condition; in response to a determination that the first biometric data is captured in the non-first condition, inputting the first biometric data to a generative network of the generative adversarial networks to generate a second biometric data; obtaining a matching result by inputting the first biometric data in response to a determination that the first biometric data is captured in the first condition or the second biometric data to a matching network; and determining a recognition result based on the matching result.

Inventors:
LI YAZHAO (CN)
Application Number:
PCT/CN2017/102680
Publication Date:
March 28, 2019
Filing Date:
September 21, 2017
Export Citation:
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Assignee:
NOKIA TECHNOLOGIES OY (FI)
NOKIA TECH BEIJING CO LTD (CN)
International Classes:
G06F21/32; G06N3/02; H04L29/08
Foreign References:
CN103944615A2014-07-23
CN107038840A2017-08-11
CN105549745A2016-05-04
CN105072252A2015-11-18
CN104077516A2014-10-01
US20160148488A12016-05-26
Other References:
TRAN LUAN ET AL.: "Disentangled Representation Learning GAN for Pose-Invariant Face Recognition", IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 21 July 2017 (2017-07-21), pages 1283 - 1292, XP033249467, DOI: 10.1109/CVPR.2017.141
KOMEILI MAJID ET AL.: "2016 Canadian Conference on Electrical and Computer Engineering (CCECE", 15 May 2016, IEEE, article "On evaluating human recognition using electrocardiogram signals: From rest to exercise", pages: 1 - 4
I. GOODFELLOWJ. POUGETABADIEM. MIRZA ET AL.: "Generative Adversarial Networks", ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, vol. 3, 2014, pages 2672 - 2680
Attorney, Agent or Firm:
ZHONGZI LAW OFFICE (CN)
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