• 2D Self-organized ONN model for Handwritten Text Recognition 

      Mohammed, Hanadi Hassen; Malik, Junaid; Al-Maadeed, Somaya; Kiranyaz, Serkan ( Elsevier , 2022 , Article)
      Deep Convolutional Neural Networks (CNNs) have recently reached state-of-the-art Handwritten Text Recognition (HTR) performance. However, recent research has shown that typical CNNs' learning performance is limited since ...
    • HANDWRITING RECOGNITION IN ARABIC HISTORICAL MANUSCRIPTS 

      MOHAMMED, HANADI HASSEN (06-2 , Dissertation)
      Document Analysis and Recognition significantly impact humanitarian studies by revealing information hidden in historical document collections worldwide. This research area merges the sciences of computer vision and machine ...
    • WSNet - Convolutional Neural Networkbased Word Spotting for Arabic and English Handwritten Documents 

      Mohammed, Hanadi Hassen; Subramanian, Nandhini; Al-Maadeed, Somaya; Bouridane, Ahmed ( UIKTEN - Association for Information Communication Technology Education and Science , 2022 , Article)
      This paper proposes a new convolutional neural network architecture to tackle the problem of word spotting in handwritten documents. A Deep learning approach using a novel Convolutional Neural Network is developed for the ...