@inbook{2a37d03c69284725b4d977c5bdae9e5c,
title = "Individuality of 3D fingerprints",
abstract = "This chapter attempts to answer one of the most fundamental questions on the availability of inherent discriminable information from the 3D fingerprints. We scientifically define the individuality of 3D fingerprints and estimate the probability of false random correspondence between two 3D fingerprints. This chapter also comparatively evaluates the improvement from 3D fingerprint individuality, over those from 2D fingerprints, using practical 3D minutiae template matching criterion and imaging resolutions. The numbers illustrated in this chapter provide upper bound on the expected performance from the contactless 3D fingerprint systems.",
author = "Ajay Kumar",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-67681-4_8",
language = "English",
series = "Advances in Computer Vision and Pattern Recognition",
publisher = "Springer London",
pages = "109--119",
booktitle = "Advances in Computer Vision and Pattern Recognition",
address = "United Kingdom",
}