Privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing

In the past two decades ambient intelligence (AmI) has been a focus of research in different fields and from different points of view. It can be defined as an electronic environment consisting of devices capable of recognising people presence and responding in a certain way. The security and privacy in these kind of environments is still a challenge. With employing biometrics for person recognition in ambient intelligence, the devices could distinguish between different people in a non-intrusive way. With this, the privacy issue occurring in ambient intelligence is even more pronounced when combined with biometric recognition. This paper shows a privacy improvement model for biometric person recognition in ambient intelligence using perceptual hashing.