Face recognition systems: A survey
Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …
growing rapidly. Video surveillance, criminal identification, building access control, and …
Hardware accelerators for real-time face recognition: A survey
A Baobaid, M Meribout, VK Tiwari, JP Pena - IEEE Access, 2022 - ieeexplore.ieee.org
Real-time face recognition has been of great interest in the last decade due to its wide and
varied critical applications which include biometrics, security in public places, and …
varied critical applications which include biometrics, security in public places, and …
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Hands are two of the most crucial organs and they play major role for human activities.
Therefore, amputee people experience many difficulties in daily life. To overcome these …
Therefore, amputee people experience many difficulties in daily life. To overcome these …
Face recognition based on statistical features and SVM classifier
In this paper, a face recognition method based on statistical features and Support Vector
Machine (SVM) algorithm is proposed. The statistical analysis is used to extract and select …
Machine (SVM) algorithm is proposed. The statistical analysis is used to extract and select …
A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals
Driver fatigue is the one of the main reasons of the traffic accidents. The human brain is a
complex structure, whose function can be evaluated with electroencephalogram (EEG) …
complex structure, whose function can be evaluated with electroencephalogram (EEG) …
Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN
Schizophrenia (ScZ) is a detrimental condition of the brain often associated with depression,
anxiety, and socio-psychological problems. In the traditional diagnosis approach, the results …
anxiety, and socio-psychological problems. In the traditional diagnosis approach, the results …
Learning LBP structure by maximizing the conditional mutual information
Local binary patterns of more bits extracted in a large structure have shown promising
results in visual recognition applications. This results in very high-dimensional data so that it …
results in visual recognition applications. This results in very high-dimensional data so that it …
Sound-event classification using robust texture features for robot hearing
Sound-event classification often utilizes time-frequency analysis, which produces an image-
like spectrogram. Recent approaches such as spectrogram image features and subband …
like spectrogram. Recent approaches such as spectrogram image features and subband …
Histogram refinement for texture descriptor based image retrieval
Texture descriptors such as local binary patterns (LBP) have been successfully employed for
feature extraction in image retrieval algorithms because of their high discriminating ability …
feature extraction in image retrieval algorithms because of their high discriminating ability …
Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery
Facial sentiment analysis has been an enthusiastic research area for the last two decades. A
fair amount of work has been done by researchers in this field due to its utility in numerous …
fair amount of work has been done by researchers in this field due to its utility in numerous …