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On the Relevance of Minutiae Count and Distribution for Finger Vein Recognition Accuracy 

BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group Linortner, Michael; Uhl, Andreas
Vein recognition usually uses binary features, but besides deep learning-based approaches key-point and minutiae-based ones started to become popular as well. Statistical measures for vein minutiae points, like spatial point distribution, have not been investigated in literature so far. In this work the number of vein ...

VeinPLUS+: A Publicly Available and Free Software Framework for Vein Recognition 

BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group Linortner, Michael; Uhl, Andreas
In this work a new and open source software framework for vein recognition is presented, which supports a complete tool chain to conduct biometric experiments. The software can be used out of the box on several publicly available databases and offers a convenient mechanism to configure the tool chain to fit the needs for ...

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Author

Linortner, Michael (2)
Uhl, Andreas (2)

Subject

Biometrics (1)C++ (1)free software framework (1)software (1)spatial point distribution (1)vein minutiae distribution (1)Vein recognition (1)vein recognition (1)VeinPLUS+ (1)... View More

Date Issued

2021 (2)

Has File(s)

Yes (2)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.