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3D finger vein patterns : acquisition, reconstruction and recognition

Zonneveld, T. van (2021) 3D finger vein patterns : acquisition, reconstruction and recognition.

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Abstract:Fingerprint and facial recognition systems are widely used for recognition and identification purposes. However, a drawback of these methods is that they are relatively easy to spoof, since the biometric features are acquired from surface of the human body. A partial solution to this problem is the use of vein patterns from inside the fingers. Typically, used vascular systems are 2D systems and the rotations that occur during the acquisition phase may potentially not be acounted for, resulting in a lower accuracy of these systems. Previous research has attempted to identify and address these issues by developing 3D vein pattern recognition systems, but the quantity of papers written on this topic is severely limited and mostly these works are not well documented. To fill this research gap, this works develops a new finger vein scanner that allows 3D vein patterns to be constructed by combining multiple highly detailed 2D vein images. These images are used to construct 3D reconstructions and to perform recognition experiments. The results indicate that 2D systems can perfectly handle rotations in artificial fingers and achieve 99% accuracy for 2D while 98% accuracy is achieved for 3D. For real fingers 2D outperforms 3D with 95% accuracy for 2D compared to 91% for 3D, and the EER rates are 0.045 and 0.089 for 2D and 3D respectively.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:53 electrotechnology, 54 computer science
Programme:Electrical Engineering MSc (60353)
Link to this item:http://purl.utwente.nl/essays/88484
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