Adapting to Movement Patterns for Face Recognition on Mobile Devices
Facial recognition is becoming an increasingly popular way to authenticate users, helped by
the increased use of biometric technology within mobile devices, such as smartphones and …
the increased use of biometric technology within mobile devices, such as smartphones and …
Hidden assumption of face recognition evaluation under different quality conditions
Automatic face recognition remains a challenging task due to factors such as variations in
recording condition, pose, and age. Many schemes have emerged to enhance the …
recording condition, pose, and age. Many schemes have emerged to enhance the …
[图书][B] A performance assessment framework for mobile biometrics
M Boakes - 2022 - search.proquest.com
This project aims to develop and explore a robust framework for assessing biometric
systems on mobile platforms, where data is often collected in non-constrained, potentially …
systems on mobile platforms, where data is often collected in non-constrained, potentially …
Multi-stage face recognition for biometric access
Protecting the privacy of user-identification data is fundamental to protect the information
systems from attacks and vulnerabilities. Providing access to such data only to the limited …
systems from attacks and vulnerabilities. Providing access to such data only to the limited …
[PDF][PDF] Exploiting Samples Quality in Evaluating and Improving Performance of Biometric Systems
H Al-Assam, A Abboud… - International Journal of …, 2011 - infonomics-society.org
Many approaches have been proposed to enhance the performance of biometric-based
recognition when using poor quality biometric samples. It has been shown that reporting …
recognition when using poor quality biometric samples. It has been shown that reporting …
A Fast Audio Clustering Using Vector Quantization and Second Order Statistics
K Biatov - arXiv preprint arXiv:1009.4719, 2010 - arxiv.org
This paper describes an effective unsupervised speaker indexing approach. We suggest a
two stage algorithm to speed-up the state-of-the-art algorithm based on the Bayesian …
two stage algorithm to speed-up the state-of-the-art algorithm based on the Bayesian …
[PDF][PDF] A fast speaker indexing using vector quantization and second order statistics with adaptive threshold computation.
K Biatov - INTERSPEECH, 2010 - isca-archive.org
This paper describes an effective unsupervised speaker indexing approach. We suggest a
two stage algorithm to speed-up the state-of-the-art algorithm based on the Bayesian …
two stage algorithm to speed-up the state-of-the-art algorithm based on the Bayesian …