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Biometric presentation attack detection is gaining increasing attention. Users of mobile devices find it more convenient to unlock their smart applications with finger, face or iris recognition instead of passwords. In this paper, we survey…

Computer Vision and Pattern Recognition · Computer Science 2020-05-04 Yomna Safaa El-Din , Mohamed N. Moustafa , Hani Mahdi

Iris recognition is a reliable personal identification method but there is still much room to improve its accuracy especially in less-constrained situations. For example, free movement of head pose may cause large rotation difference…

Computer Vision and Pattern Recognition · Computer Science 2019-12-03 Min Ren , Caiyong Wang , Yunlong Wang , Zhenan Sun , Tieniu Tan

Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical biometrics are used, as…

Computer Vision and Pattern Recognition · Computer Science 2022-08-02 Francesco Zola , Jose Alvaro Fernandez-Carrasco , Jan Lukas Bruse , Mikel Galar , Zeno Geradts

Iris recognition is a mature biometric technology offering remarkable precision and speed, and allowing for large-scale deployments to populations exceeding a billion enrolled users (e.g., AADHAAR in India). However, in forensic…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Mahsa Mitcheff , Adam Czajka

The human behavior of evaluating other individuals with respect to their personality traits and intelligence by evaluating their faces plays a crucial role in human relations. These trait judgments might influence important social outcomes…

Computer Vision and Pattern Recognition · Computer Science 2016-04-27 Rizhen Qin , Wei Gao , Huarong Xu , Zhanyi Hu

Face recognition is a biometric which is attracting significant research, commercial and government interest, as it provides a discreet, non-intrusive way of detecting, and recognizing individuals, without need for the subject's knowledge…

Computer Vision and Pattern Recognition · Computer Science 2019-08-14 Andrew Jason Shepley

Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for women and dark-skinned people. To mitigate the bias of…

Computer Vision and Pattern Recognition · Computer Science 2022-08-18 Sreeraj Ramachandran , Ajita Rattani

Biometric technologies are the foundation of personal identification systems. It provides an identification based on a unique feature possessed by the individual. This paper provides a walkthrough for image acquisition, segmentation,…

Computer Vision and Pattern Recognition · Computer Science 2011-11-23 S. Nithyanandam , K. S. Gayathri , P. L. K. Priyadarshini

Iris authentication algorithms have achieved impressive recognition performance, making them highly promising for real-world applications such as border control, citizen identification, and both criminal investigations and commercial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Geetanjali Sharma , Gaurav Jaswal , Aditya Nigam , Raghavendra Ramachandra

In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious procedures for unauthorized access attempts. Some works…

Iris recognition technology has attracted an increasing interest in the last decades in which we have witnessed a migration from research laboratories to real world applications. The deployment of this technology raises questions about the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-25 Aythami Morales , Julian Fierrez , Javier Galbally , Marta Gomez-Barrero

The standard methods of identification such as PIN Numbers (Personal Identification Number), Passwords, smart cards can be easily stolen and can be misused easily. To overcome this, biometric is introduced, as it will be unique to each…

Cryptography and Security · Computer Science 2024-06-26 R. Sridevi , P. Shobana

Aging or gender variation can affect the face recognition performance dramatically. While most of the face recognition studies are focused on the variation of pose, illumination and expression, it is important to consider the influence of…

Computer Vision and Pattern Recognition · Computer Science 2018-11-12 Caroline Werther , Morgan Ferguson , Kevin Park , Troy Kling , Cuixian Chen , Yishi Wang

Motivation: In forensic or medico-legal investigation as well as in anthropology the gender determination of the subject (hit by a disastrous or any kind of traumatic situation) is mostly the first step. In state-of-the-art techniques the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-14 Mumtaz A. Kaloi , Kun He

The use of the iris as a biometric identifier has increased dramatically over the last 30 years, prompting privacy and security concerns about the use of iris images in research. It can be difficult to acquire iris image databases due to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Jingxuan Zhang , Robert J. Hart , Ziqian Bi , Shiaofen Fang , Susan Walsh

Human identification has always been a topic that interested researchers around the world. Biometric methods are found to be more effective and much easier for the users than the traditional identification methods like keys, smart cards and…

Computer Vision and Pattern Recognition · Computer Science 2013-09-30 Bijeesh T. , Nimmi I. P

Criminal and victim identification based on crime scene images is an important part of forensic investigation. Criminals usually avoid identification by covering their faces and tattoos in the evidence images, which are taken in…

Computer Vision and Pattern Recognition · Computer Science 2019-10-09 Wojciech Michal Matkowski , Frodo Kin Sun Chan , Adams Wai Kin Kong

This paper presents a unique analysis of post-mortem human iris recognition. Post-mortem human iris images were collected at the university mortuary in three sessions separated by approximately 11 hours, with the first session organized…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Mateusz Trokielewicz , Adam Czajka , Piotr Maciejewicz

We present an analysis of the representation of gender as a data dimension in data visualizations and propose a set of considerations around visual variables and annotations for gender-related data. Gender is a common demographic dimension…

Human-Computer Interaction · Computer Science 2023-08-29 Florent Cabric , Margrét Vilborg Bjarnadóttir , Meng Ling , Guðbjörg Linda Rafnsdóttir , Petra Isenberg

Face detection and recognition has been prevalent with research scholars and diverse approaches have been incorporated till date to serve purpose. The rampant advent of biometric analysis systems, which may be full body scanners, or iris…

Computer Vision and Pattern Recognition · Computer Science 2017-01-31 Smriti Tikoo , Nitin Malik