LIVENESS TEST METHOD AND APPARATUS
First Claim
1. A processor-implemented liveness test method comprising:
- detecting a face region in a query image, the query image comprising a test object for a liveness test;
determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database;
determining at least one test region in the query image based on the detected face region and the determined liveness test condition;
obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor; and
determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.
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Abstract
A processor-implemented liveness test method includes detecting a face region in a query image, the query image including a test object for a liveness test, determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database, determining at least one test region in the query image based on the detected face region and the determined liveness test condition, obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor, and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.
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Citations
33 Claims
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1. A processor-implemented liveness test method comprising:
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detecting a face region in a query image, the query image comprising a test object for a liveness test; determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database; determining at least one test region in the query image based on the detected face region and the determined liveness test condition; obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor; and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A processor-implemented liveness data registration method comprising:
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detecting a face region in a registration image, the registration image comprising a registration object to be registered; determining at least one candidate registration region in the registration image based on the detected face region and a current liveness test condition; obtaining feature data of the registration object from image data of the determined at least candidate registration region using a neural network-based feature extractor; determining a liveness score based on the obtained feature data; and determining whether to register the current liveness test condition and the obtained feature data as liveness data of the registration object based on the determined liveness score. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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21. A liveness test apparatus for determining liveness of a test object for a liveness test, the liveness test apparatus comprising:
a processor configured to; detect a face region in a query image, the query image comprising the test object; determine a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database; determine at least one test region in the query image based on the detected face region and the determined liveness test condition; obtain feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor; and determine a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition. - View Dependent Claims (22, 23)
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24. A liveness data registration apparatus for registering liveness data of a registration object to be registered, the liveness data registration apparatus comprising:
a processor configured to; detect a face region in a registration image, the registration image comprising the registration object; determine at least one candidate registration region in the registration image based on the detected face region and a current liveness test condition; obtain feature data of the registration object from image data of the determined at least one candidate registration region using a neural network-based feature extractor; determine a liveness score based on the obtained feature data; and determine whether to register the current liveness test condition and the obtained feature data as liveness data of the registration object based on the determined liveness score. - View Dependent Claims (25)
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26. A processor-implemented liveness test method comprising:
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obtaining a query image comprising a test object for a liveness test; obtaining feature data of the test object from image data of the query image based on a liveness test condition personalized for an individual user using a neural network-based feature extractor; and performing a liveness test on the test object based on the obtained feature data and feature data previously obtained for the individual user. - View Dependent Claims (27, 28, 29)
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30. A processor-implemented liveness data registration method comprising:
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obtaining a registration image comprising a registration object to be registered; obtaining feature data of the registration object from image data of the registration image based on a current liveness test condition using a neural network-based feature extractor; performing a liveness test on the registration object based on the obtained feature data; and determining whether to register the current liveness test condition and the obtained feature data as liveness data of the registration object based on a result of the liveness test. - View Dependent Claims (31, 32, 33)
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Specification