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Perspective Multiplication for Multi-Perspective Enrolment in Finger Vein Recognition
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Datum
2019
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Gesellschaft für Informatik e.V.
Zusammenfassung
Finger vein recognition deals with the identification of subjects based on their venous
pattern within the fingers. It has been shown that its recognition accuracy heavily depends on a good
alignment of the acquired samples. There are several approaches that try to reduce the impact of
finger misplacement. However, none of this approaches is able to prevent all possible types of finger
misplacements. As finger vein scanners are evolving towards contact-less acquisition, alignment
problems, especially due to longitudinal finger rotation, are becoming even more important. One way
to tackle this problem is capturing the vein structure from different perspectives during enrolment,
but cost and complexity of capturing devices increases with the number of involved cameras. In this
article, a new method to reduce the number of cameras needed for multi-perspective enrolment is
presented. The reduction is achieved by introducing additional pseudo perspectives in-between two
adjacent cameras. The obtained perspectives are used for additional comparisons during authentication.
This way, the complexity of the enrolment devices can be reduced while keeping the recognition
performance at a high level.