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Pattern Recognition Letters 82 (2016) 106–115
Contents lists available at ScienceDirect
Pattern Recognition Letters
journal homepage: /locate/patrec
Iris recognition through machine learning techniques: A survey ✩
,
a b c ∗
Maria De Marsico , Alfredo Petrosino , Stefano Ricciardi
a Department of Informatics, University of Rome “La Sapienza”, Roma, Italy
b Department of Science and Technology, University of Napoli “Parthenope”, Napoli, Italy
c VRLab, University of Salerno, Fisciano (SA), Italy
a r t i c l e i n f o a b s t r a c t
Article history: Iris recognition is one of the most promising fields in biometrics. Notwithstanding this, there are not so
Available online 12 February 2016 many research works addressing it by machine learning techniques. In this survey, we especially focus
on recognition, and leave the detection and feature extraction problems in the background. However, the
Keywords:
kind of features used to code the iris pattern may significantly influence the complexity of the methods
Biometrics
and their performance. In other words, complexity affects learning, and iris patterns require relatively
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