Bachelor Assignment
High Dynamic Range nger vein acquisition
Type: Bachelor EE
Student: Unassigned
Duration: TBD
Supervisors:
Introduction:
Biometrics is about recognizing persons based on their physical properties, behavior or traces they leave. Examples of biometric modalities are face, fingerprint, iris, voice etc. Many of these modalities have the disadvantage that they can easily be copied or obtained, e.g. it is very easy to take a photograph of somebodies face or to obtain his fingerprints from a smooth surface like a wine glass. Using the copied biometric, access can be obtained to mobile phones, secure areas and information etc. The vein pattern inside the finger can also be used as a biometric, because it is unique for every person, but it is very hard to copy this without the cooperation of the person involved. Therefore at DMB, we designed a finger vein scanner and investigate finger vein recognition. Around this setup a number of student assignments have been dedefined.
Figure 1: Left/middle: Finger vein scanner, Right: finger vein patterns
Assignment:
The finger vein acquisition system as shown in the figure above is our 2nd version and the hardware has been developed by a bachelor student. It includes 3 cameras for future research on pose independent and 3d finger vein recognition. To make the finger veins visible, a strip of near infrared LEDs, send light through the surface of the finger. This light is scattered through the tissue, but blocked by the blood in the veins which then show as black lines in the image. Optimal illumination plays an important role in the image quality. In this assignment we try to obtain finger vein images with a higher dynamic range by combining a number of images with dierent illumination, where stronger illumination is used to enhance the details in darker areas and weaker illumination in the brighter areas.