Face verification method and apparatus
Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
1. A mobile device, comprising:
one or more processors configured to:
obtain an image for a user;
ascertain whether eyes of the user are closed;
select to not perform a user verification when the eyes of the user are ascertained to be closed; and
unlock the mobile device, to permit the user to access functions of the mobile device, when the user verification verifies the user.
2. The mobile device of claim 1 , comprising at least one processor and a memory storing instructions that configure the at least one processor to perform the user verification, including implementation of a machine learning verification model with respect to the image.
3. The mobile device of claim 2 , wherein the one or more processors are further configured to determine a result of the performed user verification through consideration of a similarity, with respect to registered verification information and a result of the implementation of the machine learning verification model.
4. The mobile device of claim 2 , wherein the machine learning verification model includes a neural network.
5. The mobile device of claim 2 , wherein the at least one processor is a processor of the one or more processors.
6. The mobile device of claim 1 , further comprising a camera to capture the image.
7. The mobile device of claim 1 , wherein the mobile device is a mobile phone.
8. The mobile device of claim 1 , wherein the mobile device is a tablet.
9. The mobile device of claim 1 , wherein the mobile device is a laptop.
10. The mobile device of claim 1 , wherein the one or more processors are further configured to perform the user verification, including determining a result of the user verification by considering a similarity between registered verification information and verification information extracted with respect to the image.
11. The mobile device of claim 10 , further comprising a display,
wherein the one or more processors are further configured to provide an indication on the display of whether the user verification verifies the user.
12. A processor-implemented method of a device, the method comprising:
obtaining an image for a user;
ascertaining whether eyes of the user are closed;
selecting to not perform a user verification when the eyes of the user are ascertained to be closed; and
unlocking the device, for permitting the user to access functions of the device, when the user verification verifies the user.
13. The method of claim 12 , further comprising performing the user verification, including performing the user verification using a machine learning verification model.
14. The method of claim 13 , further comprising determining a result of the performed user verification by considering a similarity, with respect to registered verification information and a result of the implemented machine learning verification model.
15. The method of claim 13 , wherein the machine learning verification model includes a neural network.
16. The method of claim 12 , further comprising providing a visual indication to the user of whether the user verification verifies the user.
17. The method of claim 12 , wherein the device is a mobile phone, a tablet, or a laptop.