English

Can Facial Uniqueness be Inferred from Impostor Scores?

Computer Vision and Pattern Recognition 2013-10-25 v1

Abstract

In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.

Keywords

Cite

@article{arxiv.1310.6376,
  title  = {Can Facial Uniqueness be Inferred from Impostor Scores?},
  author = {Abhishek Dutta and Raymond Veldhuis and Luuk Spreeuwers},
  journal= {arXiv preprint arXiv:1310.6376},
  year   = {2013}
}

Comments

A 6 page paper presented in the Biometric Technologies in Forensic Science (BTFS) 2013 Conference, Oct 14-15 2013, Nijmegen, Netherlands. Full proceeding is available at http://www.ru.nl/clst/btfs/btfs-2013/