Liveness detection for face capture

US2017344840A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2017344840-A1
Application numberUS-201715604392-A
CountryUS
Kind codeA1
Filing dateMay 24, 2017
Priority dateMay 24, 2016
Publication dateNov 30, 2017
Grant date

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Abstract

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Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for liveness detection are disclosed. In one aspect, a method includes the actions of providing, for display on a screen to a user, a graphical item that travels along a path. The actions further include tracking a movement of an eye of the user while the graphical item travels along the path on the screen. The actions further include comparing the movement of the eye of the user to the path traveled by the graphical item. The actions further include generating an eye correlation score that reflects a correlation between the movement of the eye of the user and the path traveled by the graphical item. The actions further include determining whether the eye correlation score satisfies an eye liveness threshold score. The actions further include determining whether the user is a live person.

First claim

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What is claimed is: 1 . A computer-implemented method comprising: providing, for display on a screen to a user, a graphical item that travels along a path; tracking a movement of an eye of the user while the graphical item travels along the path on the screen; comparing the movement of the eye of the user to the path traveled by the graphical item; based on comparing the movement of the eye of the user to the path traveled by the graphical item, generating an eye correlation score that reflects a correlation between the movement of the eye of the user and the path traveled by the graphical item; determining whether the eye correlation score satisfies an eye liveness threshold score; and based on determining whether the eye correlation score satisfies the eye liveness threshold score, determining whether the user is a live person. 2 . The method of claim 1 , wherein: determining whether the eye correlation score satisfies an eye liveness threshold score comprises determining that the eye correlation score satisfies the eye liveness threshold score, and determining whether the user is a live person comprises determining that the user is a live person based on determining that the eye correlation score satisfies the eye liveness threshold score. 3 . The method of claim 1 , wherein: determining whether the eye correlation score satisfies an eye liveness threshold score comprises determining that the eye correlation score does not satisfy the eye liveness threshold score, and determining whether the user is a live person comprises determining that the user is not a live person based on determining that the eye correlation score does not satisfy the eye liveness threshold score. 4 . The method of claim 1 , path traveled by the graphical item is a random path. 5 . The method of claim 1 , comprising: tracking a movement of a head of the user while the graphical item travels along the path; comparing the movement of the head of the user to the path traveled by the graphical item; based on comparing the movement of the head of the user to the path traveled by the graphical item, generating a head correlation score that reflects a correlation between the movement of the head of the user and the path traveled by the graphical item; and determining whether the head correlation score satisfies a head liveness threshold score, wherein determining whether the user is a live person is based further on determining whether the head correlation score satisfies the head liveness threshold score. 6 . The method of claim 1 , wherein the graphical item travels continuously along the path. 7 . The method of claim 1 , wherein the graphical item travels along the path stopping at particular points along the path. 8 . A system comprising: one or more computers; and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: providing, for display on a screen to a user, a graphical item that travels along a path; tracking a movement of an eye of the user while the graphical item travels along the path on the screen; comparing the movement of the eye of the user to the path traveled by the graphical item; based on comparing the movement of the eye of the user to the path traveled by the graphical item, generating an eye correlation score that reflects a correlation between the movement of the eye of the user and the path traveled by the graphical item; determining whether the eye correlation score satisfies an eye liveness threshold score; and based on determining whether the eye correlation score satisfies the eye liveness threshold score, determining whether the user is a live person. 9 . The system of claim 8 , wherein: determining whether the eye correlation score satisfies an eye liveness threshold score comprises determining that the eye correlation score satisfies the eye liveness threshold score, and determining whether the user is a live person comprises determining that the user is a live person based on determining that the eye correlation score satisfies the eye liveness threshold score. 10 . The system of claim 8 , wherein: determining whether the eye correlation score satisfies an eye liveness threshold score comprises determining that the eye correlation score does not satisfy the eye liveness threshold score, and determining whether the user is a live person comprises determining that the user is not a live person based on determining that the eye correlation score does not satisfy the eye liveness threshold score. 11 . The system of claim 8 , path traveled by the graphical item is a random path. 12 . The system of claim 8 , wherein the operations further comprise: tracking a movement of a head of the user while the graphical item travels along the path; comparing the movement of the head of the user to the path traveled by the graphical item; based on comparing the movement of the head of the user to the path traveled by the graphical item, generating a head correlation score that reflects a correlation between the movement of the head of the user and the path traveled by the graphical item; and determining whether the head correlation score satisfies a head liveness threshold score, wherein determining whether the user is a live person is based further on determining whether the head correlation score satisfies the head liveness threshold score. 13 . The method of claim 8 , wherein the graphical item travels continuously along the path. 14 . The system of claim 8 , wherein the graphical item travels along the path stopping at particular points along the path. 15 . A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: providing, for display on a screen to a user, a graphical item that travels along a path; tracking a movement of an eye of the user while the graphical item travels along the path on the screen; comparing the movement of the eye of the user to the path traveled by the graphical item; based on comparing the movement of the eye of the user to the path traveled by the graphical item, generating an eye correlation score that reflects a correlation between the movement of the eye of the user and the path traveled by the graphical item; determining whether the eye correlation score satisfies an eye liveness threshold score; and based on determining whether the eye correlation score satisfies the eye liveness threshold score, determining whether the user is a live person. 16 . The medium of claim 15 , wherein: determining whether the eye correlation score satisfies an eye liveness threshold score comprises determining that the eye correlation score satisfies the eye liveness threshold score, and determining whether the user is a live person comprises determining that the user is a live person based on determining that the eye correlation score satisfies the eye liveness threshold score. 17 . The medium of claim 15 , wherein: determining whether the eye correlation score satisfies an eye liveness threshold score comprises determining that the eye correlation score does not satisfy the eye liveness threshold score, and determining whether the user is a live person comprises determining that the user is not a live person based on determining that the eye correlation score does not satisfy the eye liveness threshold score.

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What does patent US2017344840A1 cover?
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for liveness detection are disclosed. In one aspect, a method includes the actions of providing, for display on a screen to a user, a graphical item that travels along a path. The actions further include tracking a movement of an eye of the user while the graphical item travels along the path on t…
Who is the assignee on this patent?
Morphotrust Usa Llc
What technology area does this patent fall under?
Primary CPC classification G06K9/00906. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 30 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).