Liveness test method and apparatus

A processor-implemented liveness data registration method comprising:

• 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.

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.

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.

A processor-implemented liveness test method comprising:

• 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.

A processor-implemented liveness data registration method comprising:

• 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.