Transparent Techniques



The nature of authentication currently is to authenticate at point-of-entry. Therefore all authentication systems have been designed and developed to tightly operate within those requirements. Applying those same technologies to a different application, such as transparent authentication, results in a series of challenges. This is not completely unexpected, as systems designed for one application are invariably not fit-for-purpose within another application, without some redesign. For biometric-based approaches, the primary challenge is concerned with the sample capture. Within point-of-entry scenarios, the environment within which the sample is taken can be closely controlled whether it be an application guiding the user to provide the sample, swiping the finger at a slower pace across the sensor, changing the orientation of the head so that the camera has a better shot of the face or environment-based controls, such as minimising ambient noise or ensuring an acceptable level of illumination. Biometric systems have therefore been developed knowing such operational variables are under their control – or remain constant. With transparent authentication, such control over the environment and the user is not possible. Instead, the user could be performing a variety of activities whilst the sample is captured, giving rise to a far higher degree of variability in the samples.


Mobile Phone Facial Recognition Equal Error Rate Speaker Recognition Behavioural Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Centre for Security, Communications & Network Research (CSCAN)Plymouth UniversityPlymouthUK

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