Title:
ADVERSARIAL NETWORK-BASED FINGERPRINT MODEL GENERATION METHOD AND RELATED APPARATUS
Document Type and Number:
WIPO Patent Application WO/2021/072870
Kind Code:
A1
Abstract:
An adversarial network-based fingerprint model generation method and apparatus, a computer device, and a storage medium. The adversarial network-based fingerprint model generation method comprises: inputting a fingerprint sample image into a first machine learning sub-model, and outputting, by the first machine learning sub-model, a fingerprint simulated image (S121); inputting the fingerprint simulated image into a second machine learning sub-model, and outputting, by the second machine learning sub-model, a determining result concerning whether it is a fingerprint simulated image, such that the first machine learning sub-model adjusts parameters according to the determination result and then the fingerprint simulated image output by the first machine learning sub-model is more similar to the finger sample image (S122); and if the recognition rate of the second machine learning sub-model reaches a predetermined recognition threshold, outputting the fingerprint simulated image as a fingerprint model (S124). A fingerprint model having high similarity to real fingerprints can be synthesized in the case of lacking a fingerprint database.
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Inventors:
WANG YIWEN (CN)
WANG JIANZONG (CN)
WANG JIANZONG (CN)
Application Number:
PCT/CN2019/118092
Publication Date:
April 22, 2021
Filing Date:
November 13, 2019
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06K9/00
Foreign References:
| CN108932534A | 2018-12-04 | |||
| US20190286950A1 | 2019-09-19 | |||
| CN110309708A | 2019-10-08 | |||
| CN110321785A | 2019-10-11 |
Attorney, Agent or Firm:
SHENZHEN LUNGTIN LIANDING INTELLECTUAL PROPERTY AGENT LTD. (CN)
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