Journal ArticleDOI
Face recognition technology: security versus privacy
TLDR
The interplay of technical and social issues involved in the widespread application of video surveillance for person identification, including face recognition technology, are analyzed.Abstract:
Video surveillance and face recognition systems have become the subject of increased interest and controversy after the September 11 terrorist attacks on the United States. In favor of face recognition technology, there is the lure of a powerful tool to aid national security. On the negative side, there are fears of an Orwellian invasion of privacy. Given the ongoing nature of the controversy, and the fact that face recognition systems represent leading edge and rapidly changing technology, face recognition technology is currently a major issue in the area of social impact of technology. We analyze the interplay of technical and social issues involved in the widespread application of video surveillance for person identification.read more
Citations
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Journal ArticleDOI
How technology paradoxes and self-efficacy affect the resistance of facial recognition technology in online microfinance platforms: Evidence from China
TL;DR: In this article , the antecedents of users' resistance behavior toward facial recognition technology (FRT) in micro-finance platforms of China were analyzed. And the results of the mediating effects test show that self-efficacy can not only directly affect resistance, but also indirectly influence it through efficiency, public, and anxiety.
Journal ArticleDOI
Digital Quality of Life: Public Safety
Daniel Castro,Julie A. Hedlund +1 more
TL;DR: The IT revolution has given governments the tools, infrastructure, and capabilities to make public safety easier, less expensive, and more effective.
Book ChapterDOI
Aid and AI: The Challenge of Reconciling Humanitarian Principles and Data Protection
TL;DR: A hypothetical facial recognition system based on artificial intelligence that could assist humanitarian organisations in their efforts to identify missing persons ought only to be deployed after a holistic impact assessment has been made to ensure its adherence to both data protection and humanitarian principles.
Journal ArticleDOI
A Dataset for Comparing Mirrored and Non-Mirrored Male Bust Images for Facial Recognition
Collin Gros,Jeremy Straub +1 more
TL;DR: This paper presented a data set collected and prepared for this and related research purposes, which included both non-occluded and occluded data for mirroring assessment.
Facial Recognition: A Biometric For The Fight Against Check Fraud
TL;DR: The results indicate that facial recognition systems have the potential for reducing fraud in these transactions, but several obstacles must be researched and overcome.
References
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Journal ArticleDOI
Face recognition: A literature survey
TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Journal ArticleDOI
Detecting faces in images: a survey
TL;DR: In this article, the authors categorize and evaluate face detection algorithms and discuss relevant issues such as data collection, evaluation metrics and benchmarking, and conclude with several promising directions for future research.
Journal ArticleDOI
Human and machine recognition of faces: a survey
TL;DR: A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community.
Journal ArticleDOI
Comparison and combination of ear and face images in appearance-based biometrics
TL;DR: It is found that recognition performance is not significantly different between the face and the ear, for example, 70.5 percent versus 71.6 percent in one experiment and multimodal recognition using both the ear and face results in statistically significant improvement over either individual biometric.
Journal ArticleDOI
Face Recognition in Poor-Quality Video: Evidence From Security Surveillance:
TL;DR: In this article, the authors examined the ability of subjects to identify target people captured by a commercially available video security device and found that subjects who were personally familiar with the targets performed very well at identifying them, but subjects unfamiliar with the target performed very poorly.