University of Twente Student Theses


Implementation of HDR for image acquisition on a finger vein scanner

Humblot-Renaux, G. (2018) Implementation of HDR for image acquisition on a finger vein scanner.

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Abstract:A novel approach to finger vein image acquisition consists of capturing a multi-intensity sequence of images and merging them into a single HDR image to record a maximum amount of vein detail. Two HDR methods are proposed and evaluated: basic scalar weighting which maximizes entropy, and weighting with a moving mean filter which increases local contrast and background homogeneity. Both methods show promising vein recognition results: a higher level of vein detail was detected using both Maximum Curvature and Repeated Line Tracking than with a single LDR finger vein image. A small-scale vein matching experiment with 3 samples of 4 different fingers from the same person gave no false positives or negatives, and showed improvement compared to using single LDR image. Further testing with large datasets is required in order to draw broader conclusions about recognition performance.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
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