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3D Point Cloud Reconstruction Based on the Finger Vascular Pattern

Bunda, S.T. (2018) 3D Point Cloud Reconstruction Based on the Finger Vascular Pattern.

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Abstract:In the last few years the principle of having finger vein recognition for biometric identification has gained in popularity. Unfortunately, this procedure is very sensitive to the orientation of the finger. At the Biometric Pattern Recognition chair at the University of Twente a device has been designed to be able to capture three images of the finger veins. This paper is the first attempt to try to solve this orientation problem by creating a three-dimensional model of the finger veins using the device. A 3D point cloud of the finger veins of an index finger has been created using stereo reconstruction. Utilizing the camera parameters obtained by camera calibration, the images of two different angles can be processed. The 3D model could be reconstructed by creating a disparity map using the knowledge obtained by an algorithm that can isolate the finger. Two known test models that simulated the finger vein structure were created to estimate the accuracy of the 3D model. By reconstructing the models, it is shown that there is still improvement possible for future research. The method shown in this paper shows that it is in fact possible to get 3D models of the vascular system of the finger. The method still needs improvements in terms of speed and accuracy. This paper also provides several recommendations concerning the 3D model acquisition and improvements of the finger vein scanner used in this work.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:http://purl.utwente.nl/essays/75284
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