Results 201 to 210 of about 679 (248)

Detecting liveness of fingerprint biometrics

International Journal of Internet Protocol Technology, 2016
Biometrics refer to automated recognition of individuals based on their biological and behavioral characteristics. Biometric systems are widely used for security. But biometric systems are vulnerable to a certain type of attack. The type 1 attack or direct attack is done at the sensor level using fake input.
G. Arunalatha, M. Ezhilarasan
openaire   +1 more source

Iris Liveness Detection: A Survey

2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 2018
Iris is an accurate but vulnerable trait which is widely used in biometric system. To protect iris recognition module, an additional process called liveness detection is integrated into biometric system. The primary objective of this paper is to review the recent progress in iris liveness detection.
Yangyu Chen, Weigang Zhang
openaire   +1 more source

Sensors to Detect the Activities of Daily Living

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
We study the use of embedded and worn sensors to unobtrusively detect the activities of daily living (ADL). Our aim is to find the minimum set of sensors required to detect these basic tasks. In this exploratory work, we analyze the publicly available 'Intense Activity' dataset from the MIT PlaceLab project and study the classification of eating and ...
Beth Logan, Jennifer Healey
openaire   +2 more sources

Survey on fingerprint liveness detection

2013 International Workshop on Biometrics and Forensics (IWBF), 2013
Recent researches have shown great attention in biometric systems due to the importance of its applications and its challenges. Researchers proved that the available fingerprint recognition systems are vulnerable to attack at sensor level. Thus, developing an efficient algorithm to protect fingerprint systems from imposer access is urgent.
openaire   +1 more source

Detecting Activities for Assisted Living

2008
The objective is to detect activities taking place in a home for the purpose of creating models of behavior for the occupant. An array of sensors captures the status of appliances used in the home. Models for the occupant’s activities are built from the captured data using unsupervised learning techniques.
Dorothy Ndedi Monekosso, Paolo Remagnino
openaire   +1 more source

Experimental Results on Fingerprint Liveness Detection

2012
Fingerprint liveness detection is aimed to detect if a fingerprint image, sensed by an electronic device, belongs to an "alive" fingertip or to be an artificial replica of it. Recent studies have shown that a fingerprint can be replicated and, if a clever attacker tries to evade the system, this is an issue.
Luca Ghiani, Paolo Denti, Gian Luca Marcialis   +2 more
openaire   +1 more source

Liveness Detection for Images and Audio

2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2022
Wei Yuen Teh, Ian K. T. Tan, Heng Kiat Tan   +2 more
openaire   +1 more source

Fingerprint liveness detection approaches: a survey

International Journal of Autonomous and Adaptive Communications Systems, 2023
Mingyu Chen 0007, Chengsheng Yuan 0002, Ying Lv   +2 more
openaire   +1 more source

Detection of live speech

2021
LESSO JOHN PAUL, IDO TORU
openaire   +3 more sources

Liveness Detection

2009
  +4 more sources