Multibiometric Authentication System Using Slap Fingerprints, Palm Dorsal Vein, and Hand Geometry

In this paper, a multibiometric system that fuses slap fingerprints, palm dorsal vein, and hand geometry for accurate person authentication is proposed. The proposed system simultaneously acquires slap images and infrared (IR) hand dorsal image from which slap fingerprints, palm dorsal veins, and IR...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2018-12, Vol.65 (12), p.9777-9784
Main Authors: Gupta, Puneet, Gupta, Phalguni
Format: Article
Language:English
Subjects:
Authentication
Cameras
Feature extraction
Fingerprints
Fuses
Geometry
hand geometry
Image acquisition
Image segmentation
Infrared imagery
multibiometric system
Palm
palm dorsal vein
Pattern matching
slap fingerprint
Veins
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Summary:In this paper, a multibiometric system that fuses slap fingerprints, palm dorsal vein, and hand geometry for accurate person authentication is proposed. The proposed system simultaneously acquires slap images and infrared (IR) hand dorsal image from which slap fingerprints, palm dorsal veins, and IR hand geometry are extracted. Simultaneous acquisition reduces the acquisition time and helps to improve user acceptability. The slap segmentation is accomplished using the knowledge of the approximate finger location and hand type (either left or right) obtained from the simultaneously acquired IR hand dorsal image. Multibiometric fusion based on serial methodology has been proposed for consolidating the matching scores of slap fingerprints, palm dorsal vein, and IR hand geometry. It ensures better performance in terms of accuracy and time. Experimental results indicate that authentication using slap fingerprints can be improved by incorporating the knowledge from IR hand images. Further, it depicts that the fusion of slap fingerprint, palm dorsal vein, and IR hand geometry can help to achieve the best performance.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2018.2823686