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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 ...
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.
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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]
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Multi-modal dataset for obstacle detection in agriculture including stereo camera, thermal camera, web camera, 360-degree camera, lidar, radar, and precise localization. Classes labelled geographically. >400 GB of data Images and 3D point clouds Classification, object detection, object localization 2017 [52] M. Kragh et al.
However, in April 2020 the NIST [21] (National Institute of Standards and Technology), now part of the U.S. Department of Commerce, that provides technology, measurement, and standards that impact a wide range of products and technology, ranked IDEMIA 1st for iris recognition underlining its algorithms performance and accuracy.
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