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US 8,798,331 B2Granted
Methods for performing biometric recognition of a human eye and corroboration of same
AssigneeEyelock LLC
InventorsKeith J. Hanna, Hector T. Hoyos
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AssigneeEyelock LLC
InventorsKeith J. Hanna, Hector T. Hoyos
Estimating the term…
A method of biometric recognition is provided. Multiple images of the face or other non-iris image and iris of an individual are acquired. If the multiple images are determined to form an expected sequence of images, the face and iris images are associated together. A single camera preferably acquires both the iris and face images by changing at least one of the zoom, position, or dynamic range of the camera. The dynamic range can be adjusted by at least one of adjusting the gain settings of the camera, adjusting the exposure time, and/or adjusting the illuminator brightness. The expected sequence determination can be made by determining if the accumulated motion vectors of the multiple images is consistent with an expected set of motion vectors and/or ensuring that the iris remains in the field of view of all of the multiple images.
A method for biometric matching with iris data, comprising:
A method for biometric matching with iris data, comprising:
A system for biometric matching with iris data, comprising:
A system for biometric matching with iris data, comprising:
A method for biometric matching with iris data, comprising:
A system for biometric matching with iris data, comprising:
Dependencies are inferred from the claim text.
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From the US filing history. Foreign family members aren’t listed.
1. Field of the Disclosure
This disclosure relates generally to systems in which imagery is acquired primarily to determine or verify the identity of a person using a biometric recognition system, and more specifically to systems in which there is a need to detect the presence of a live, human eye in the imagery. The biometric used for recognition may be the iris, for example.
2. Description of Related Art
Embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures and accompanying drawings and in which like reference numerals refer to similar elements and in which:
FIG. 1 is a functional block diagram of one preferred system used to detect a human eye.
FIG. 2 is a flow chart showing one preferred method of detecting a human eye.
In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of invention described herein. It will be apparent, however, that embodiments of the invention may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the description of embodiments of the invention. It should also be noted that these drawings are merely exemplary in nature and in no way serve to limit the scope of the invention, which is defined by the claims appearing hereinbelow.
In iris recognition applications, the iris is imaged behind the transparent corneal surface which has a particular convex shape. Light is also typically reflected off the cornea itself and back into the imager. In addition, the retinal surface is imaged through the pupil although it typically appears dark due to the relatively small amount of light that is returned to the imager from it. In order to determine whether a detected iris is live, parameters of the geometrical and/or photometric relationships and/or properties of the iris, retina and cornea determined. The reflective properties of a human eye are detailed at length in “The World in an Eye,” published by Ko Nishino and Shree K. Nayar, in IEEE Conference on Pattern Recognition, Vol 1, pp 444-451, June 2004, which is incorporated by reference in its entirety. In the present invention, using these reflective parameters, a determination is made as to whether an eye is live or not. Following the methods disclosed below, various components and their configuration in an iris recognition system can be varied in order to optimize performance for specific applications where it is easier to modify some configuration parameters compared to others.
More specifically, preferred techniques are discussed for determining whether an image detected through a camera is a live, human eye or a false representation such as a photograph. One or more images are presented on a computer screen positioned in front of a user. To deter attempts at spoofing, the image used for this determination may vary. Images presented on the computer screen may include a solid color, a regular or warped checkered pattern, random noise, etc. In addition, a number of different images may be presented in quick succession so that a person is unable to tell which image is being used for this determination, and is unable to predict which image will be displayed at which time. One or more cameras are positioned near the computer. The cameras are positioned to face a person in front of the computer screen. Due to the relatively sharp curvature of the human eye and particularly the cornea, the image projected on the computer screen will be reflected back and captured by the cameras.
Eye characteristics, e.g. of the iris: sensors therefor
Analysing: matching criteria, e.g. proximity measures
Image analysis: analysis of motion
Optical characteristics of the device performing the acquisition or on the illumination arrangements: control of illumination
About 1 month of term left · ends 13 Nov 2026 (estimated)