Methods and systems for determining user liveness
AssigneeDaon Holdings Limited
InventorMircea Ionita
Life of this patent
Estimating the term…
Abstract
A method determining user liveness is provided that includes calculating, by a device, eye openness measures for a frame included in captured authentication data, and storing the eye openness measures in a buffer of the device. Moreover the method includes calculating confidence scores from the eye openness measures stored in the buffer, and detecting an eye blink when a maximum confidence score is greater than a threshold score.
Claims9
A method for determining detection windows and window positions comprising:
- for at least one frame in a video of captured biometric data, incrementally moving, by a processor, at least one detection window type over a region of interest to occupy different positions within the region of interest, the region of interest including the captured biometric data;
- calculating a feature value for each position;
- creating a vector for each frame included in the at least one frame from the feature values calculated for the respective frame;
- and
- processing the vectors using an algorithm to determine information regarding combinations of detection window type, size, and position to be used for calculating eye openness measures during authentication transactions.
An apparatus for determining detection windows and window positions comprising:
- a processor;
- and
- a memory for storing authentication data, said apparatus being associated with a network and said memory being in communication with said processor and having instructions stored thereon which, when executed by said processor, cause said processor to:
- for at least one frame in a video of captured biometric data, incrementally move at least one detection window type over a region of interest to occupy different positions within the region of interest, the region of interest including the captured biometric data;
- calculate a feature value for each position;
- create a vector for each frame included in the at least one frame from the feature values calculated for the respective frame;
- and
- process the vectors using an algorithm to determine information regarding combinations of detection window type, size, and position to be used for calculating eye openness measures during authentication transactions.
A non-transitory computer-readable recording medium included in a computing device, the recording medium having a computer program stored thereon for determining detection windows and window positions, the computer program being comprised of instructions, which when read and executed by the computing device, cause the computing device to:
- for at least one frame in a video of captured biometric data, incrementally move at least one detection window type over a region of interest to occupy different positions within the region of interest, the region of interest including the captured biometric data;
- calculate a feature value for each position;
- create a vector for each frame included in the at least one frame from the feature values calculated for the respective frame;
- process the vectors using an algorithm to determine information regarding combinations of detection window type, size, and position to be used for calculating eye openness measures during authentication transaction.
Dependencies are inferred from the claim text.