	US 12,236,710 B2
	Fingerprint recognition method and electronic device
Haoxuan Di, Shenzhen (CN); Danhong Li, Shenzhen (CN); and Xiaowu Zhang, Shenzhen (CN)
Assigned to Honor Device Co., Ltd., Shenzhen (CN)
Appl. No. 18/245,283
Filed by Honor Device Co., Ltd., Shenzhen (CN)
PCT Filed Sep. 13, 2022, PCT No. PCT/CN2022/118475 § 371(c)(1), (2) Date Mar. 14, 2023, PCT Pub. No. WO2023/065889, PCT Pub. Date Apr. 27, 2023.
Claims priority of application No. 202111236058.2 (CN), filed on Oct. 22, 2021.
Prior Publication US 2024/0304027 A1, Sep. 12, 2024
Int. Cl. G06V 40/13 (2022.01); G06V 10/80 (2022.01); G06V 10/98 (2022.01); G06V 40/12 (2022.01)

CPC G06V 40/1365 (2022.01) [G06V 10/80 (2022.01); G06V 10/993 (2022.01)]

20 Claims

1. A fingerprint recognition method, comprising:

obtaining a first fingerprint image of a user;

performing a quality evaluation on the first fingerprint image;

determining the first fingerprint image to be a first quality level, wherein the first quality level identifies a quality of the first fingerprint image;

determining a first repair model based on the first quality level, wherein the first repair model comprises a first repair parameter, and the first repair model corresponds to the first quality level;

processing the first fingerprint image based on the first repair model to obtain a second fingerprint image;

performing fingerprint recognition by using the second fingerprint image;

obtaining a third fingerprint image of the user;

performing a quality evaluation on the third fingerprint image;

determining the third fingerprint image to be a second quality level, wherein the second quality level identifies a quality of the third fingerprint image;

determining a second repair model based on the second quality level, wherein the first repair model is the same repair model or a different repair model from the second repair model, the second repair model comprises a second repair parameter, and the second repair model corresponds to the second quality level;

processing the third fingerprint image based on the second repair model to obtain a fourth fingerprint image; and

performing fingerprint recognition by using the fourth fingerprint image; and

wherein the first quality level is higher than the second quality level, and a change degree between the second fingerprint image and the first fingerprint image is less than a change degree between the fourth fingerprint image and the third fingerprint image.