• A New Forensic Video Database for Source Smartphone Identification: Description and Analysis 

      Akbari, Y.; Al-Maadeed, Somaya; Almaadeed, N.; Najeeb, A.A.; Al-ali, A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      In recent years, the field of digital imaging has made significant progress, so that today every smartphone has a built-in video camera that allows you to record high-quality video for free and without restrictions. On the ...
    • An improved palmprint recognition system using iris features 

      Laadjel M.; Bouridane A.; Nibouche O.; Kurugollu F.; Al-Maadeed, Somaya ( Springer , 2013 , Article)
      This paper presents a bimodal biometric recognition system based on the extracted features of the human palmprint and iris using a new graph-based approach termed Fisher locality preserving projections (FLPP). This new ...
    • Applications, databases and open computer vision research from drone videos and images: a survey 

      Akbari Y.; Almaadeed N.; Al-Maadeed, Somaya; Elharrouss O. ( Springer Science and Business Media B.V. , 2021 , Article)
      Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major ...
    • Automatic and Secure Electronic Gate System Using Fusion of License Plate, Car Make Recognition and Face Detection 

      Saadouli G.; Elburdani M.I.; Al-Qatouni R.M.; Kunhoth S.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      In this paper, we propose an automatic electronic gate system with authenticity confirmation from 3 individual modules, viz., car make and model, license plate and face detection. The ultrasonic sensor detects the stopped ...
    • Constrained metric learning by permutation inducing isometries 

      Bosveld, Joel; Mahmood, Arif; Huynh, Du Q.; Noakes, Lyle ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      The choice of metric critically affects the performance of classification and clustering algorithms. Metric learning algorithms attempt to improve performance, by learning a more appropriate metric. Unfortunately, most of ...
    • DeepWTPCA-L1: A New Deep Face Recognition Model Based on WTPCA-L1 Norm Features 

      Maafiri A.; Elharrouss O.; Rfifi S.; Al-Maadeed, SomayaA.; Chougdali K. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      In this paper, we propose a robust face recognition model called DeepWTPCA-L1 using WTPCA-L1 features and a CNN-LSTM architecture. First, WTPCA-L1 algorithm, composed of Three-level decomposition of discrete wavelet transform ...
    • Enhancing face recognition using Directional Filter Banks 

      Boukabou W.R.; Bouridane A.; Al-Maadeed, Somaya ( Elsevier Inc. , 2013 , Article)
      Face recognition is an increasingly important problem in biometric applications; consequently many recognition algorithms have been proposed during the last three decades. It is accepted that the use of a pre-processing ...
    • Face Recognition in the Scrambled Domain via Salience-Aware Ensembles of Many Kernels 

      Jiang, Richard; Al-Maadeed, Somaya; Bouridane, Ahmed; Crookes, Danny; Celebi, M. Emre ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)
      With the rapid development of Internet-of-Things (IoT), face scrambling has been proposed for privacy protection during IoT-targeted image/video distribution. Consequently, in these IoT applications, biometric verification ...
    • FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums 

      Elharrouss O.; Almaadeed N.; Abualsaud K.; Al-Maadeed S.; Al-Ali A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc. Counting ...
    • Infrared Versus Visible Image Matching for Multispectral Face Recognition 

      Syed W.W.; Al-Maadeed, Somaya ( Springer , 2020 , Conference Paper)
      Multispectral face recognition has been an interesting area of research where images obtained from different bands are matched. There are many face image datasets available which contain infrared and visible images. In ...
    • LFR face dataset:Left-Front-Right dataset for pose-invariant face recognition in the wild 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      In this work, a new multitask convolutional neural network (CNN) is proposed aiming for the recognition of face under pose variations. Furthermore, the combination of pose estimation for each corresponding pose in a separate ...
    • LWKPCA: A New Robust Method for Face Recognition Under Adverse Conditions 

      Maafiri, Ayyad; Bir-Jmel, Ahmed; Elharrouss, Omar; Khelifi, Fouad; Chougdali, Khalid ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Article)
      Over the last two decades, face recognition (FR) has become one of the most prevailing biometric applications for effective people identification as it offers practical advantages over other biometric modalities. However, ...
    • Multi-descriptor random sampling for patch-based face recognition 

      Cheheb, Ismahane; Al-Maadeed, Noor; Bouridane, Ahmed; Beghdadi, Azeddine; Jiang, Richard ( MDPI AG , 2021 , Article)
      While there has been a massive increase in research into face recognition, it remains a challenging problem due to conditions present in real life. This paper focuses on the inherently present issue of partial occlusion ...
    • Multi-Order Statistical Descriptors for Real-Time Face Recognition and Object Classification 

      Mahmood A.; Uzair M.; Al-Maadeed S. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      We propose novel multi-order statistical descriptors which can be used for high speed object classification or face recognition from videos or image sets. We represent each gallery set with a global second-order statistic ...
    • Pose-invariant face recognition with multitask cascade networks 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Khelifi F. ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      In this work, a face recognition method is proposed for face under pose variations using a multitask convolutional neural network (CNN). Furthermore, a pose estimation method followed by a face identification module is ...
    • Public Security Surveillance System Using Blockchain Technology and Advanced Image Processing Techniques 

      Al-Sahan L.; Al-Jabiri F.; Abdelsalam N.; Mohamed A.; Elfouly T.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      National security is a top priority to mitigate intrusions and criminal acts. Governments require robust national surveillance system that can cover all geographical areas, including the blind spots that may hold violence ...
    • Secure facial recognition in the encrypted domain using a local ternary pattern approach 

      Khan F.A.; Bouridane A.; Boussakta S.; Jiang R.; Almaadeed S. ( Elsevier Ltd , 2021 , Article)
      Automatic facial recognition is fast becoming a reliable method for identifying individuals. Due to its reliability and unobtrusive nature facial recognition has been widely deployed in law enforcement and civilian ...
    • Video Quality Assessment Dataset for Smart Public Security Systems 

      Bezzine I.; Khan Z.A.; Beghdadi A.; Al-Maadeed N.; Kaaniche M.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Security and monitoring systems are more and more demanding in terms of quality, reliability and flexibility especially those dedicated to video surveillance. The quality of the acquired video signal strongly affects the ...