• A combined multiple action recognition and summarization for surveillance video sequences 

      Elharrouss O.; Almaadeed N.; Al-Maadeed, Somaya; Bouridane A.; Beghdadi A. ( Springer , 2021 , Article)
      Human action recognition and video summarization represent challenging tasks for several computer vision applications including video surveillance, criminal investigations, and sports applications. For long videos, it is ...
    • A Comparative Study of Machine Learning Approaches for Handwriter Identification 

      Durou A.; Al-Maadeed S.; Aref I.; Bouridane A.; Elbendak M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ...
    • A Key Frame Based Video Summarization using Color Features 

      Asim M.; Almaadeed N.; Al-Maadeed S.; Bouridane A.; Beghdadi A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The rapid development of digital video has opened ways for several multimedia applications. A huge amount of video data is uploaded on internet on daily basis, which, consumes additional internet bandwidth and storage ...
    • A set of geometrical features for writer identification 

      Hassane A.; Al-Maadeed, Somaya; Bouridane A. ( Springer , 2012 , Conference Paper)
      Writer identification is an important field in the forensic document examination. We propose in this paper a set of geometrical features that makes it possible to characterize writers. They include directions, curvatures ...
    • 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 ...
    • Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization 

      Peyret R.; Bouridane A.; Khelifi F.; Tahir M.A.; Al-Maadeed S. ( Elsevier B.V. , 2018 , Article)
      This paper proposes a new multispectral multiscale local binary pattern feature extraction method for automatic classification of colorectal and prostatic tumor biopsies samples. A multilevel stacked generalization ...
    • Automatic diagnosis of prostate cancer using multispectral based linear binary pattern bagged codebooks 

      Peyret R.; Khelifi F.; Bouridane A.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Cancer is classified by the World Health Organisation as a worldwide problem and its effect is increasing. A timely diagnosis is crucial and an early detection can be vital leading to an effective diagnosis. This paper ...
    • Automatic segmentation and reconstruction of historical manuscripts in gradient domain 

      Baig A.; Al-Ma'adeed S.A.S.; Bouridane A.; Cheriet M. ( Institution of Engineering and Technology , 2018 , Article)
      Separating content from noise in historical manuscripts is a fundamental task in digital palaeography. This study presents a fully automated segmentation approach based on the response of Harris corner detectors. The ...
    • CamNav: a computer-vision indoor navigation system 

      Karkar A.G.; Al-Maadeed, Somaya; Kunhoth J.; Bouridane A. ( Springer , 2021 , Article)
      We present CamNav, a vision-based navigation system that provides users with indoor navigation services. CamNav captures images in real time while the user is walking to recognize their current location. It does not require ...
    • Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images 

      Boubchir L.; Al-Maadeed, Somaya; Bouridane A.; Cherif A.A. ( IEEE Computer Society , 2015 , Conference Paper)
      This paper presents novel time-frequency (t-f) feature extraction approach for the classification of EEG signals for Epileptic seizure activities detection. The proposed features are based on Local Binary Patterns (LBP) ...
    • Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition 

      Laadjel M.; Al-Maadeed, Somaya; Bouridane A. ( Elsevier B.V. , 2015 , Article)
      In this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize ...
    • Efficient segmentation of sub-words within handwritten arabic words 

      Khan F.; Bouridane A.; Khelifi F.; Almotaeryi R.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      Segmentation is considered as a core step for any recognition or classification method and for the text within any document to be effectively recognized it must be segmented accurately. In this paper a text and writer ...
    • End-to-End Image Steganography Using Deep Convolutional Autoencoders 

      Subramanian N.; Cheheb I.; Elharrouss O.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Image steganography is used to hide a secret image inside a cover image in plain sight. Traditionally, the secret data is converted into binary bits and the cover image is manipulated statistically to embed the secret ...
    • 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-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : 45 

      Alshaikhli M.; Elharrouss O.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Due to the increasingly growing demand for user identification on cell phones, PCs, laptops, and so on, face anti-spoofing has risen to significance and is an active research area in academia and industry. The detection ...
    • 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 ...
    • ICDAR 2013 competition on handwriting stroke recovery from offline data 

      Hassaine A.; Al-Maadeed, Somaya; Bouridane A. ( IEEE , 2013 , Conference Paper)
      Stroke recovery from offline handwriting is a very interesting research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare ...
    • Image Steganography: A Review of the Recent Advances 

      Subramanian N.; Elharrouss O.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, ...
    • Improved gait recognition based on gait energy images 

      Rida I.; Al-Maadeed, Somaya.; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      The performance of gait recognition systems are usually affected by clothing, carrying conditions, and other intraclass variations which are also referred to as covariates. This paper proposes a supervised feature selection ...
    • Indoor visible light communication localization system utilizing received signal strength indication technique and trilateration method 

      Mousa F.I.K.; Almaadeed N.; Busawon K.; Bouridane A.; Binns R.; ... more authors ( SPIE , 2018 , Article)
      Visible light communication (VLC) based on light-emitting diodes (LEDs) technology not only provides higher data rate for indoor wireless communications and offering room illumination but also has the potential for indoor ...