News and insight into biometric identification and authentication

Iris biometric secures mobile app

Wednesday, April 6, 2011

Much of this issue examines use of the mobile device as an identity token. Key to this use is enabling biometric authentication on the handset to establish the identity of the user prior to initiating secure transactions.

In the U.S. very few handsets are biometric enabled. But since most devices are equipped with cameras there has been a move to use them to capture the biometrics instead of adding dedicated hardware.

WinkPass Creations did just that with its eyeD application for iPhone 4. The application uses the back facing camera on the handset to capture and then authenticate the user’s iris image.

There are 497 words in the rest of this article …

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Vision-Box, a biometrics solutions provider, has come out with an automatic border control e-gate that supports multimodal biometric authentication.

This new e-gate is a thin system that contains vb i-match, a single sourced design that is modular and flexible and can be adapted to business requirements and infrastructure constraints that would otherwise disrupt passenger flow. It has the ability to cope with industry standards such as ICAO. The e-gate supports iris, fingerprint and facial biometrics.

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The National Institute of Standards and Technology (NIST) has developed and published a new protocol for devices to capture biometric data wirelessly and securely using Web services.

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Travelers into Dubai International Airport will have the option of using an automated border crossing checkpoint, according to GulfNews.com.

Initially deployed in Terminal three, but expected to be rolled out throughout the airport, the system will read the passports and check the facial image and iris against a watch list. The entire process takes about 15 seconds.

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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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