APSIPA Transactions on Signal and Information Processing > Vol 10 > Issue 1

The future of biometrics technology: from face recognition to related applications

Industrial Technology Advances

Hitoshi Imaoka, NEC Corporation, Japan, h-imaoka_cb@nec.com , Hiroshi Hashimoto, NEC Corporation, Japan, Koichi Takahashi, NEC Corporation, Japan, Akinori F. Ebihara, NEC Corporation, Japan, Jianquan Liu, NEC Corporation, Japan, Akihiro Hayasaka, NEC Corporation, Japan, Yusuke Morishita, NEC Corporation, Japan, Kazuyuki Sakurai, NEC Corporation, Japan
 
Suggested Citation
Hitoshi Imaoka, Hiroshi Hashimoto, Koichi Takahashi, Akinori F. Ebihara, Jianquan Liu, Akihiro Hayasaka, Yusuke Morishita and Kazuyuki Sakurai (2021), "The future of biometrics technology: from face recognition to related applications", APSIPA Transactions on Signal and Information Processing: Vol. 10: No. 1, e9. http://dx.doi.org/10.1017/ATSIP.2021.8

Publication Date: 28 May 2021
© 2021 Hitoshi Imaoka, Hiroshi Hashimoto, Koichi Takahashi, Akinori F. Ebihara, Jianquan Liu, Akihiro Hayasaka, Yusuke Morishita and Kazuyuki Sakurai
 
Subjects
 
Keywords
Face RecognitionBiometricsDeep Learning
 

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In this article:
I. INTRODUCTION 
II. OVERVIEW OF FACE RECOGNITION TECHNOLOGY 
III. RECENT PROGRESS OF FACE PRESENTATION ATTACK DETECTION 
IV. APLLICATIONS OF FACE RECOGNITION 
V. USE CASES IN REAL SCENES 
VI. CONCLUSION AND FUTURE CHALLENGES 

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.

DOI:10.1017/ATSIP.2021.8