News and insight into biometric identification and authentication

Arizona sheriff’s office acquires new iris recognition devices

Tuesday, May 24, 2011

The Pinal County Sheriff’s Office (PCSO) in Arizona has announced it has received four iris scanners for enrolling and identifying inmates at the Pinal County Jail as well as biometrically tracking and monitoring registered sex offenders living in the county, according to a San Tan Valley Today article.

The scanners, which come from biometric technology developer B12 Technologies, will be able to compare collected biometric data to national databases in addition to the locally maintained one.


PCSO officials are praising the new system for its ability to far out perform ink fingerprints in its ability to confirm an inmate’s identity and display his necessary information during sign-in or release process by reducing the process from a six to 20 hour process down to five seconds and being entirely contactless.

While the initial four devices will only be used for inmate and sex offender tracking, PCSO has also revealed plans to eventually outfit its field officers with mobile multi-modal biometric scanners to verify identities, criminal backgrounds and any outstanding warrants on suspects as they are brought into custody.

Read the full story here[end] 

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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The Calhoun County Jail in eastern Alabama is one of the first prison systems in the U.S. to test facial recognition as a method of identifying people who have criminal records, reports the Anniston Star.

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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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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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