11 citations · 16 across the 6 of their papers we have counts for
7 papers
Alignment-Free Cross-Sensor Fingerprint Matching based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor
Helala AlShehri, Muhammad Hussain, Hatim AboAlSamh +2
The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular match…
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh +1
Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) sign…
An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh
Representation and classification of Electroencephalography (EEG) brain signals are critical processes for their analysis in cognitive tasks. Particularly, extraction of discrimina…
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents
Saeed Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi +1
In this paper, we have proposed a brain signal classification method, which uses eigenvalues of the covariance matrix as features to classify images (topomaps) created from the bra…
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey
Norah Asiri, Muhammad Hussain, Fadwa Al Adel +1
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided diagnosis (CAD) system based on retinal fundus images is an efficient and effective method f…
ConvSRC: SmartPhone based Periocular Recognition using Deep Convolutional Neural Network and Sparsity Augmented Collaborative Representation
Amani Alahmadi, Muhammad Hussain, Hatim Aboalsamh +1
Smartphone based periocular recognition has gained significant attention from biometric research community because of the limitations of biometric modalities like face, iris etc. M…