Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Periocular Recognition in the Wild with Orthogonal Combination of Local
  Binary Coded Pattern in Dual-stream Convolutional Neural Network   In spite of the advancements made in the periocular recognition, the dataset
and periocular recognition in the wild remains a challenge. In this paper, we
propose a multilayer fusion approach by means of a pair of shared parameters
(dual-stream) convolutional neural network where each network accepts RGB data
and a novel colour-based texture descriptor, namely Orthogonal
Combination-Local Binary Coded Pattern (OC-LBCP) for periocular recognition in
the wild. Specifically, two distinct late-fusion layers are introduced in the
dual-stream network to aggregate the RGB data and OC-LBCP. Thus, the network
beneficial from this new feature of the late-fusion layers for accuracy
performance gain. We also introduce and share a new dataset for periocular in
the wild, namely Ethnic-ocular dataset for benchmarking. The proposed network
has also been assessed on one publicly available dataset, namely UBIPr. The
proposed network outperforms several competing approaches on these datasets.

6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: comp-gas