Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Presentation Attack Detection for Cadaver Iris   This paper presents a deep-learning-based method for iris presentation attack
detection (PAD) when iris images are obtained from deceased people. Our
approach is based on the VGG-16 architecture fine-tuned with a database of 574
post-mortem, near-infrared iris images from the
Warsaw-BioBase-PostMortem-Iris-v1 database, complemented by a dataset of 256
images of live irises, collected within the scope of this study. Experiments
described in this paper show that our approach is able to correctly classify
iris images as either representing a live or a dead eye in almost 99% of the
trials, averaged over 20 subject-disjoint, train/test splits. We also show that
the post-mortem iris detection accuracy increases as time since death elapses,
and that we are able to construct a classification system with
APCER=0%@BPCER=1% (Attack Presentation and Bona Fide Presentation
Classification Error Rates, respectively) when only post-mortem samples
collected at least 16 hours post-mortem are considered. Since acquisitions of
ante- and post-mortem samples differ significantly, we applied countermeasures
to minimize bias in our classification methodology caused by image properties
that are not related to the PAD. This included using the same iris sensor in
collection of ante- and post-mortem samples, and analysis of class activation
maps to ensure that discriminant iris regions utilized by our classifier are
related to properties of the eye, and not to those of the acquisition protocol.
This paper offers the first known to us PAD method in a post-mortem setting,
together with an explanation of the decisions made by the convolutional neural
network. Along with the paper we offer source codes, weights of the trained
network, and a dataset of live iris images to facilitate reproducibility and
further research.

21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph