• A new chaos-based image-encryption and compression algorithm 

      Al-Maadeed,Somaya; Al-Ali A.; Abdalla T. ( Hindawi Publishing Corporation , 2012 , Article)
      We propose a new and efficient method to develop secure image-encryption techniques. The new algorithm combines two techniques: encryption and compression. In this technique, a wavelet transform was used to decompose 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 ...
    • An online signature verification system for forgery and disguise detection 

      Hassane A.; Al-Maadeed, Somaya ( Springer , 2012 , Conference Paper)
      Online signatures are acquired using a digital tablet which provides all the trajectory of the signature as well as the variation in pressure with respect to time. Therefore, online signature verification achieves higher ...
    • 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 ...
    • Attention-based Network for Image/Video Salient Object Detection 

      Elharrouss, Omar; Elkaitouni, Soukaina El Idrissi; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed (2023 , Article)
      The goal of video or image salient object detection is to identify the most important object in the scene, which can be helpful in many computer vision-based tasks. As the human vision framework has a successful capacity ...
    • Enabling indexing and retrieval of historical Arabic manuscripts through template matching based word spotting 

      Faisal T.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      We present a holistic segmentation-free query by example word spotting technique based on template matching. We have applied this technique to a dataset of historical Arabic handwritten manuscript images. First, the documents ...
    • An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images 

      Elharrouss, Omar; Subramanian, Nandhini; Al-Maadeed, Somaya ( Springer Nature , 2021 , Article)
      The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ...
    • Enhanced computer vision applications with blockchain: A review of applications and opportunities 

      Najmath, Ottakath; Al-Ali, Abdulla; Al-Maadeed, Somaya; Elharrouss, Omar; Mohamed, Amr ( Elsevier , 2023 , Article)
      Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable ...
    • Face Anti-Spoofing Detection Using Structure-Texture Decomposition 

      Douglas, Dareen; Ben Hassen, Nada; Aslam, Asmaa; Elharrouss, Omar; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)
      A key area in computer vision and biometric authentication systems is detecting and classifying face anti-spoofing. The novel method for face anti-spoofing presented in this paper focuses on color invariant methods. The ...
    • Gait recognition for person re-identification 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Bouridane A. ( Springer , 2021 , Article)
      Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the ...
    • High-Precision Nonenzymatic Electrochemical Glucose Sensing Based on CNTs/CuO Nanocomposite 

      Geetha, Mithra; Maurya, Muni Raj; Al-maadeed, Somaya; Muthalif, Asan Abdul; Sadasivuni, Kishor Kumar ( Springer , 2022 , Article)
      The measurement of blood glucose levels is essential for diagnosing and managing diabetes. Enzymatic and nonenzymatic approaches using electrochemical biosensors are used to measure serum or plasma glucose accurately. ...
    • ICDAR2015 competition on Multi-script Writer Identification and Gender Classification using 'QUWI' Database 

      Djeddi, Chawki; Al-Maadeed, Somaya; Gattal, Abdeljalil; Siddiqi, Imran; Souici-Meslati, Labiba; ... more authors ( IEEE Computer Society , 2015 , Conference Paper)
      This competition targets writer identification and gender classification from offline handwritten documents using the QUWI database. The most interesting aspect of the competition is the use of a dataset with writing samples ...
    • Image Generation: A Review 

      Elasri, Mohamed; Elharrouss, Omar; Al-Maadeed, Somaya; Tairi, Hamid ( Springer , 2022 , Article Review)
      The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images from different ...
    • Influence of codebook patterns on writer recognition: An experimental study 

      Djeddi C.; Siddiqi I.; Gattal A.; Al-Maadeed, Somaya; Ennaji A. ( Blackwell Publishing Ltd , 2021 , Article)
      Codebook-based writer characterization is an effective technique that has been investigated in a number of recent studies on identification and verification of writers. These methods divide a set of writing samples into ...
    • 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 ...
    • Memory footprint reduction for power-efficient realization of 2-D finite impulse response filters 

      Mohanty B.K.; Meher P.K.; Al-Maadeed, Somaya; Amira A. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)
      We have analyzed memory footprint and combinational complexity to arrive at a systematic design strategy to derive area-delay-power-efficient architectures for two-dimensional (2-D) finite impulse response (FIR) filter. ...
    • A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements 

      N, Mishahira; Nair, Gayathri Geetha; Houkan, Mohammad Talal; Sadasivuni, Kishor Kumar; Geetha, Mithra; ... more authors ( IEEE , 2022 , Conference Paper)
      cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ...
    • A New Framework for Smart Doors Using mmWave Radar and Camera-Based Face Detection and Recognition Techniques 

      Akbari, Younes; Al-Binali, Abdulaziz; Al-Mohannadi, Ali; Al-Hemaidi, Nawaf; Elharrouss, Omar; ... more authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
      By integrating IoT technology, smart door locks can provide greater convenience, security, and remote access. This paper presents a novel framework for smart doors that combines face detection and recognition techniques ...
    • A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN 

      Promit, Basak; Nazmus Sakib, A.H.M; Chowdhury, Muhammad E.H.; Al-Emadi, Nasser; Cagatay Yalcin, Huseyin; ... more authors ( Elsevier , 2024 , Article)
      The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ...
    • Novel Ternary Adder and Multiplier Designs without Using Decoders or Encoders 

      Aljaam J.M.; Jaber R.A.; Al-Maadeed, SomayaA. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Multiple-Valued Logic systems present significant improvements in terms of energy consumption over binary logic systems. This paper proposes new ternary combinational digital circuits that reduce energy consumption in ...