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Related papers: Understanding Biometric Entropy and Iris Capacity:…

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Deeply-learned face representations enable the success of current face recognition systems. Despite the ability of these representations to encode the identity of an individual, recent works have shown that more information is stored…

Computer Vision and Pattern Recognition · Computer Science 2020-09-22 Philipp Terhörst , Daniel Fährmann , Naser Damer , Florian Kirchbuchner , Arjan Kuijper

The iris pattern has significantly improved the biometric recognition field due to its high level of stability and uniqueness. Such physical feature has played an important role in security and other related areas. However, presentation…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Gabriela Y. Kimura , Diego R. Lucio , Alceu S. Britto , David Menotti

Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program. Large enrollment sizes can require special optimizations in order to achieve fast…

Computer Vision and Pattern Recognition · Computer Science 2018-04-20 Andrey Kuehlkamp , Kevin Bowyer

Periocular refers to the facial region in the vicinity of the eye, including eyelids, lashes and eyebrows. While face and irises have been extensively studied, the periocular region has emerged as a promising trait for unconstrained…

Computer Vision and Pattern Recognition · Computer Science 2018-10-09 Fernando Alonso-Fernandez , Josef Bigun

Among many biometrics such as face, iris, fingerprint and others, periocular region has the advantages over other biometrics because it is non-intrusive and serves as a balance between iris or eye region (very stringent, small area) and the…

Computer Vision and Pattern Recognition · Computer Science 2018-12-05 S. S. Behera , Bappaditya Mandal , N. B. Puhan

Personal identification and authentication is very crucial in the current scenario. Biometrics plays an important role in this area. Biometric based authentication has proved superior compared to traditional password based authentication.…

Cryptography and Security · Computer Science 2011-02-19 V. S. Meenakshi , G. Padmavathi

Not all people are equally easy to identify: color statistics might be enough for some cases while others might require careful reasoning about high- and low-level details. However, prevailing person re-identification(re-ID) methods use…

Computer Vision and Pattern Recognition · Computer Science 2018-10-03 Yan Wang , Lequn Wang , Yurong You , Xu Zou , Vincent Chen , Serena Li , Gao Huang , Bharath Hariharan , Kilian Q. Weinberger

For a given identity in a face dataset, there are certain iconic images which are more representative of the subject than others. In this paper, we explore the problem of computing the iconicity of a face. The premise of the proposed…

Computer Vision and Pattern Recognition · Computer Science 2019-03-06 Prithviraj Dhar , Carlos D. Castillo , Rama Chellappa

Biometrics systems have significantly improved person identification and authentication, playing an important role in personal, national, and global security. However, these systems might be deceived (or "spoofed") and, despite the recent…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 David Menotti , Giovani Chiachia , Allan Pinto , William Robson Schwartz , Helio Pedrini , Alexandre Xavier Falcao , Anderson Rocha

The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed…

Computer Vision and Pattern Recognition · Computer Science 2010-08-11 S. V. Sheela , K. R. Radhika

Biometric recognition is used across a variety of applications from cyber security to border security. Recent research has focused on ensuring biometric performance (false negatives and false positives) is fair across demographic groups.…

Methodology · Statistics 2022-08-24 Michael Schuckers , Sandip Purnapatra , Kaniz Fatima , Daqing Hou , Stephanie Schuckers

Biometric recognition is widely used, making the privacy and security of extracted templates a critical concern. Biometric Template Protection schemes, especially those utilizing Homomorphic Encryption, introduce significant computational…

Computer Vision and Pattern Recognition · Computer Science 2025-08-18 Florian Bayer , Maximilian Russo , Christian Rathgeb

This paper advances the state of the art in human examination of iris images by (1) assessing the impact of different iris conditions in identity verification, and (2) introducing an annotation step that improves the accuracy of people's…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Daniel Moreira , Mateusz Trokielewicz , Adam Czajka , Kevin W. Bowyer , Patrick J. Flynn

Bilinear inverse problems (BIPs), the resolution of two vectors given their image under a bilinear mapping, arise in many applications. Without further constraints, BIPs are usually ill-posed. In practice, properties of natural signals are…

Information Theory · Computer Science 2015-01-27 Yanjun Li , Kiryung Lee , Yoram Bresler

Iris is one of the popular biometrics that is widely used for identity authentication. Different features have been used to perform iris recognition in the past. Most of them are based on hand-crafted features designed by biometrics…

Computer Vision and Pattern Recognition · Computer Science 2019-01-09 Shervin Minaee , Amirali Abdolrashidi , Yao Wang

Identifying the critical domain size necessary for a population to persist is an important question in ecology. Both demographic and environmental stochasticity impact a population's ability to persist. Here we explore ways of including…

Populations and Evolution · Quantitative Biology 2016-01-22 Jody R. Reimer , Michael B. Bonsall , Philip K. Maini

In view of the fact that biological characteristics have excellent independent distinguishing characteristics,biometric identification technology involves almost all the relevant areas of human distinction. Fingerprints, iris, face,…

Computer Vision and Pattern Recognition · Computer Science 2017-05-17 Hao Jiang

The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed…

Computer Vision and Pattern Recognition · Computer Science 2010-07-15 S. V. Sheela , K. R. Radhika

Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment. Iris recognition is proposed in this report. We describe…

Computer Vision and Pattern Recognition · Computer Science 2013-03-05 Belhassen Akrout , Imen Khanfir Kallel , Chokri Ben Amar

Biometric recognition, or simply biometrics, is the use of biological attributes such as face, fingerprints or iris in order to recognize an individual in an automated manner. A key application of biometrics is authentication; i.e., using…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-26 Veeru Talreja , Terry Ferrett , Matthew C. Valenti , Arun Ross