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System and method for iris identification using stereoscopic face recognition

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TLDR
In this article, a system and method for iris recognition including stereoscopic face recognition, which can recognize irises including stereo face recognition system in order to recognize an authenticatee, is presented.
Abstract
Disclosed herein is a system and method for iris recognition including stereoscopic face recognition, which can recognize irises including stereoscopic face recognition system in order to recognize an authenticatee. The system includes two or more face recognition cameras for photographing two or more face images of an authenticatee; a recognition system for receiving the face images photographed by the face recognition cameras from the face recognition cameras and creating stereoscopic face information on the basis of the face images; and one or more iris recognition cameras controlled by the recognition system to photograph focused irises of the authenticatee using the created stereoscopic face information.

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Citations
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References
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Method and apparatus for uniquely identifying individuals by particular physical characteristics and security system utilizing the same

Peter Tal
TL;DR: In this paper, a method, apparatus and security system for uniquely identifying individual by their particular physical characteristics are provided, in particular, facial parameters which are defined as being the distances between identifiable points on the human face, and/or ratios of the facial parameters can be used to identify an individual as the parameters for each individual are unique.
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Iris identification system and method of identifying a person through iris recognition

TL;DR: An iris identification system and method of identifying the identity of an animate being through iris scanning are disclosed in this paper, which features an iris system pick-up unit including a camera for capturing iris images to create input image signals.
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TL;DR: In this paper, a 3D facial imaging system is described for generating facial images, indexing those images by composite codes, and searching for similar two-dimensional (2D) facial images.
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