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Iris recognition biometric systems apply mathematical pattern-recognition techniques to images of the irises of an individual's eyes.. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some ...
This is a stand-alone camera that can be attached to a desktop or laptop computer. [21] It is intended to be used for natural gesture-based interaction, face recognition, immersive, video conferencing and collaboration, gaming and learning and 3D scanning. [22] There was also version of this camera to be embedded into laptop computers. [18]
For instance iris recognition systems can be compromised by aging irises [15] and electronic fingerprint recognition can be worsened by worn-out or cut fingerprints. While unimodal biometric systems are limited by the integrity of their identifier, it is unlikely that several unimodal systems will suffer from identical limitations.
The ICE 2006 was the first large-scale, open, independent technology evaluation for iris recognition. The primary goals of the ICE projects were to promote the development and advancement of iris recognition technology and assess its state-of-the-art capability. The ICE projects were open to academia, industry and research institutes.
Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
The NGI system will be a more modular system (allowing easy expandability). It will also have more advanced lookup capabilities, incorporating palm print, iris, and facial identification. The FBI first used this system in February 2011.
This comparison of optical character recognition software includes: OCR engines, that do the actual character identification; Layout analysis software, that divide scanned documents into zones suitable for OCR; Graphical interfaces to one or more OCR engines
Bright-pupil tracking creates greater iris/pupil contrast, allowing more robust eye-tracking with all iris pigmentation, and greatly reduces interference caused by eyelashes and other obscuring features. [38] It also allows tracking in lighting conditions ranging from total darkness to very bright. Another, less used, method is known as passive ...