Program

3rd International Workshop on Arabic and derived Script Analysis and Recognition (ASAR 2019)

Program Sunday, 22nd Sept. 2019 (7:00-19:00) Room CB11.04.205

University of Technology Sydney (UTS)

 

  • 9:00: Opening
  • 9:30-10:30: Keynote Speakers: Prof. Dr. Faisal Shafait, Urdu OCR: A journey from hand-crafting to deep learning (Chair: Jihad El-Sana)
  • 10:30: Tea/Coffee breaks
  • 11:00-13:00: Session 1 (Chair: Jihad El-Sana)
    • Niddal Imam and Vassilios Vassilakis, “Detecting Spam Images with Embedded Arabic Text in Twitter” 
    • Hanen Akouaydi, Sourour Njah, Anis Samet, Mourad Zaied and Adel M. Alimi “Convolutional Neural Networks for Online Arabic Characters Recognition with Beta-Elliptic Knowledge Domain” 
    • Chemseddine Neche, Abdel Belaid and Afef Kacem-Echi” Arabic Handwritten Documents Segmentation into Text-lines and Words using Deep Learning”
    • Catherine Taleb, Laurence Likforman-Sulem, Chafic Mokbel and Maha Khachab “Visual Representation of Online Handwriting Time Series for Deep Learning Parkinson’s Disease Detection”
  • 13:00: Lunch
  • 14:00-15:00: Keynote Speakers: Prof. Dr. Jihad El-Sana, Semi-Automatic Processing of Historical Documents (Chair: Faisal Shafait)
  • 15:00-15:30: Session 2 (Chair: Faisal Shafait)
    • Hala Neji, Javier Nogueras Iso, Javier Lacasta, Mohamed Ben Halima and Adel M. Alimi “Adversarial Autoencoders for denoising digitized historical documents: the use case of incunabula”
    • Berat Kurar, Rafi Cohen, Irina Rabaev and Jihad El-Sana “VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset”
  • 15:30: Tea/Coffee breaks
  • 16:00-17:30: Session 3 (Chair: Faisal Shafait)
    • Thameur Dhieb, Houcine Boubaker, Wael Ouarda, Mounir Ben Ayed and Adel M. Alimi “Deep Bidirectional Long Short-Term Memory for Online Arabic Writer Identification based on Beta-Elliptic Model”
    • Maddouri Snoussi Samia, Bushra Al-Anesi, Zainah Boukhari, Roaa Alqurashi and Amani T. Jamal “A Smart Transparent Neural Network Arabic Signboards Images Reading by Mobile Devices”
  • 17:00: Round table
  • 18:00: Closing