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Identity Management |
AU Associates moved into this specialist field of recruitment at the beginning of 2005. We believe that it is an area that will continually expand and become core for business of all sizes who deal with or hold private or business critical data.
Identity management (ID management) is a broad administrative area that deals with identifying individuals in a system (such as a country, a network, or an enterprise) and controlling their access to resources within that system by associating user rights and restrictions with the established identity. The driver licensing system is a simple example of identity management: drivers are identified by their license numbers and user specifications (such as "can not drive after dark") are linked to the identifying number.
Trust is of fundamental importance for business. We need to trust our employees, suppliers, partners and customers in such matters as credit, non-disclosure of privileged information and compliance with corporate policies. In order to achieve that trust, it is vital that the identity of all partners in business can be established efficiently and reliably.
Biometrics
Fingerprint and Hand
Fingerprinting (also called finger scanning due to the negative connotations that 'fingerprinting' implies) is one of the most common forms of biometric identification. Fingerprinting basically uses a fingerprint's minutiae — the ridges, bifurcations, |
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islands and other traits that were classified back at the end of the 1800s. The fingerprint image is collected by the software, then pre-processed by thresholding the image and simplifying the features using standard image processing techniques.
Voice
Voice recognition is very different to speech recognition. Speech recognition detects words and sentences from an incoming audio signal whereas voice recognition tries to detect the speaker given a voice sample.
Iris and Retinal
Iris recognition is the epitome of biometric identification — the entire planet could be enrolled into an iris database and there would still be a minute chance of false identification (FAR) or rejection (FRR).
Retinal scanning also provides a similar level of accuracy. Retinal scanning uses a device to read the back of the users eye (their retina) by having them look very closely at a rotated green light, while the system reads in more than 400 different points. This gives highly accurate results with a miniscule FAR/FRR.
Facial
Facial biometrics use various features of the face to recognize or verify a user. Facial recognition is a 1-to-many mapping whereas facial verification is a more simple 1-to-1 mapping. There are four primary facial recognition techniques: eigenfaces, feature analysis, neural networking and automatic face processing. |
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