Identity, Security, Payments, Biometrics, Smart Cards and Authentication News

New iris recognition software may make iris recognition more reliable

Friday, June 13, 2008

Neurotechnology has added VeriEye iris recognition technology to its suite of biometric software. The new technology is expected to raise the reliability of current iris recognition technology as it has a different approach to detecting the iris.

While most technologies take the iris sample as a circle, VeriEye finds the boundaries of the iris allowing it to counteract obstructions, irregularities and deformations in the iris. The technology also is capable of correctly identifying irises even when the eye is looking away from the sensor. The VeriEye algorithm has a speed of 50,000 iris templates per second. [end] 

Biometrics firms Morpho and AOptix have formed a partnership to deploy advanced biometric systems targeted to border management and aviation security industries.

Under the terms of the partnership, AOptix products will be integrated into Morpho’s border management product line. This includes InSight Duo, AOptix’s combined face capture and iris recognition system.

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The National Institute of Standards and Technology released a report detailing the evaluation of iris recognition software from 11 different organizations, finding that this method of identification is getting easier and faster, albeit with less accurate results.

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The introduction of biometric multimodal fusion has helped lead to greater accuracy in biometric authentication, but its adoption rate is still overall fairly low, reports ZDNet Asia.

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M2SYS Technology has released an Automated Fingerprint Identification System (AFIS) that enables the storage, search, retrieval, processing and editing of biometric data and subject records. The new system is built on multi-modal architecture, enabling users to combine the biometric matching of a fingerprint with that of an iris, face or palm print.

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Biometric identification and object recognition technology provider Neurotechnology has released updates to its line of Software Development Kits (SDKs) for single and multi-biometric recognition of fingerprint, face, iris and voice identification and object recognition.

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Three University of California, Riverside scholars have received a $25,000 grant from the National Endowment for the Humanities to launch a program that will use facial recognition software to identify unknown subjects in portrait art.

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