Results 161 to 170 of about 299,916 (216)

EEG Subject Identification and Open-Set Rejection Across Paradigms. [PDF]

Sensors (Basel)
Chen C, Lv D, Sun J, Liu L, Li S, Pan M, Tian C, Li Z, Wu F, Zhang N, Jing T.   +10 more
europepmc   +1 more source

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect. [PDF]

Ophthalmol Sci
Zhang Z, Zhou X, Li C, Xiao Y, Chen Z.
europepmc   +1 more source

FaciaVox: A diverse multimodal biometric dataset of facial images and voice recordings. [PDF]

Data Brief
Abuqaaud K, Nassif AB, Shahin I.
europepmc   +1 more source

mHealth-supported tuberculosis contact investigation by community health workers in high-burden countries: a scoping review. [PDF]

Glob Health Action
Izhar MD, Wahab A, Istiono W, Mahendradhata Y.   +3 more
europepmc   +1 more source

Multimodal biometrics

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
Biometric products provide improved security over traditional electronic access control methods such as RFID tags, electronic keypads and some mechanical locks. They ensure that the authorized user is present in order for access to take place. The user's authorized card or password pin cannot be stolen or lost to gain access. Common physical biometrics
Ashish Mishra, Vinayak Ashok Bharadi, Hemant B. Kekre   +2 more
openaire   +3 more sources

Multimodal Face Biometrics by Using Convolutional Neural Networks

Journal of Korea Multimedia Society, 2017
Biometric recognition is one of the major challenging topics which needs high performance of recognition accuracy. Most of existing methods rely on a single source of biometric to achieve recognition. The recognition accuracy in biometrics is affected by
Yong Man Ro, Seong Tae Kim, Leslie Ching Ow Tiong   +2 more
exaly   +2 more sources

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Multimodal Biometric System

2008 First International Conference on Emerging Trends in Engineering and Technology, 2008
Single biometric system has certain inherent problems such as noisy sensor data, non-universality of biometric trait, restricted degrees of freedom and unaccepted error rates. Multibiometric system tries to overcome these problems by providing multiple evidences of the same identity.
V. C. Subbarayudu, Munaga V. N. K. Prasad   +1 more
openaire   +2 more sources

Multimodal Cancelable Biometrics

2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing, 2012
Multimodal biometric systems have emerged as highly successful new approach to combat problems of unimodal biometric system such as intraclass variability, interclass similarity, data quality, non-universality, and sensitivity to noise. However, one major issue pertinent to unimodal system remains.
Padma Polash Paul, Marina L. Gavrilova
openaire   +1 more source

Multimodal biometric systems

2014 International Conference on Multimedia Computing and Systems (ICMCS), 2014
Biometric is a unique, measurable physiological or behavioral characteristic of a person. The biometric system is one such that can provide accurate and reliable scheme for person verification and authentication. Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of ...
Chérif Taouche, Mohamed Chaouki Batouche, Mohamed Berkane, Abdelmalik Taleb-Ahmed   +3 more
openaire   +1 more source

Multimodal biometrics

Proceedings of the 5th international conference on Multimodal interfaces, 2003
Experimental studies show that multimodal biometric systems for small-scale populations perform better than single-mode biometric systems. We examine if such techniques scale to larger populations, introduce a methodology to test the performance of such systems, and assess the feasibility of using commercial off-the-shelf (COTS) products to construct ...
Robert Snelick, Mike Indovina, James Yen, Alan Mink   +3 more
openaire   +1 more source