Person Identification for Access Control using NIR Hand Vein Imaging

Bonderup, Morten Bojesen

4. term

Vision, Graphics and Interactive Systems, Master

2017

2017-06-08

43 pages

Physical access control systems which rely on physical access tokens such as keycards, chips or mechanical keys are widely used. The use of physical access tokens can however in some scenarios cause issues. One example is care homes for elderly or dementia patients. At such facilities the residents may not be capable of handling these physical access tokens, they may lose them or forget them. Therefore it can be difficult to apply access control on residents private rooms. A way of solving the issues of physical access tokens is to use a biometric access control systems. Most current biometric access con- trol system do however rely on active interaction from the users and may be only applicable for two-factor authenti- cation. Such system will therefore not solve all issues regarding physical access tokens, as such system will instead require training or developing new habits. To address these issues the focus of this project is to investigate the possi- bilities of using hand vein recognition for a biometric access control system. A proof-of-concept is developed which uses a CCTV camera and near infrared light to capture hand vein images. Furthermore a dataset of hand vein images is acquired to test this proof-of-concept.

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