The unimodal biometric based system faced several inherent problems like lack of uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
Face recognition is of great importance to real world applications such as video surveillance, human machine interaction and security systems. As compared to traditional machine …
Multimodal biometric systems are highly used over unimodal biometric systems. The multimodal systems fuse information from multiple biometric traits to overcome the …
SF Kak, FM Mustafa - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The present study aims to use the smart home application practically to enhancing control management of the home, security, increase comfortably, and decrease energy …
X Chen, H Wang, Y Liang, Y Meng, S Wang - Sensors, 2021 - mdpi.com
The presence of fake pictures affects the reliability of visible face images under specific circumstances. This paper presents a novel adversarial neural network designed named as …
U Jain, K Choudhary, S Gupta… - 2018 2nd International …, 2018 - ieeexplore.ieee.org
These days' people are most concerned about their privacy. As we know that many big companies are failing to provide their customers the privacy and security, they have right …
VE Vyanza, C Setianingsih… - 2017 IEEE Asia Pacific …, 2017 - ieeexplore.ieee.org
In recent years, digital image technology has been developing quickly. Supporting by widespread programming software development, the technology has contributed to human …
In this paper, we are implementing a convolutional neural network for face recognition. We preprocess the pictures by utilizing channels. Haar cascade is utilized to distinguish face …
N Ahmed, FA Khan, Z Ullah, H Ahmed… - Advances in Science …, 2021 - bibliotekanauki.pl
The problem of a facial biometrics system was discussed in this research, in which different classifiers were used within the framework of face recognition. Different similarity measures …