The future of biometrics technology: from face recognition to related applications
Open Access
- 28 May 2021
- journal article
- research article
- Published by Now Publishers in APSIPA Transactions on Signal and Information Processing
- Vol. 10 (1)
- https://doi.org/10.1017/atsip.2021.8
Abstract
Biometric recognition technologies have become more important in the modern society due to their convenience with the recent informatization and the dissemination of network services. Among such technologies, face recognition is one of the most convenient and practical because it enables authentication from a distance without requiring any authentication operations manually. As far as we know, face recognition is susceptible to the changes in the appearance of faces due to aging, the surrounding lighting, and posture. There were a number of technical challenges that need to be resolved. Recently, remarkable progress has been made thanks to the advent of deep learning methods. In this position paper, we provide an overview of face recognition technology and introduce its related applications, including face presentation attack detection, gaze estimation, person re-identification and image data mining. We also discuss the research challenges that still need to be addressed and resolved.Keywords
This publication has 51 references indexed in Scilit:
- Face-Spoofing 2D-Detection Based on Moiré-Pattern AnalysisIEEE Transactions on Information Forensics and Security, 2015
- Face Spoof Detection With Image Distortion AnalysisIEEE Transactions on Information Forensics and Security, 2015
- Deep Representations for Iris, Face, and Fingerprint Spoofing DetectionIEEE Transactions on Information Forensics and Security, 2015
- Covariance descriptor based on bio-inspired features for person re-identification and face verificationImage and Vision Computing, 2014
- LBP − TOP Based Countermeasure against Face Spoofing AttacksLecture Notes in Computer Science, 2013
- Face spoofing detection from single images using texture and local shape analysisIET Biometrics, 2012
- Relaxed Pairwise Learned Metric for Person Re-identificationLecture Notes in Computer Science, 2012
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative ModelLecture Notes in Computer Science, 2010
- Robust Real-Time Face DetectionInternational Journal of Computer Vision, 2004