• A novel approach for handedness detection from off-line handwriting using fuzzy conceptual reduction 

      Al-Maadeed, Somaya; Ferjani, Fethi; Elloumi, Samir; Jaoua, Ali ( Springer International Publishing , 2016 , Article)
      A challenging area of pattern recognition is the recognition of handwritten texts in different languages and the reduction of a volume of data to the greatest extent while preserving associations (or dependencies) between ...
    • Arabic handwriting recognition using sequential minimal optimization 

      Hassen H.; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Due to the variability of writing styles and to other problems related to the nature of Arabic scripts, the recognition of Arabic handwriting is still awaiting accurate results. Segmentation of Arabic handwritten words ...
    • Automatic handedness detection from off-line handwriting 

      Al-Maadeed,Somaya; Ferjani F.; Elloumi S.; Hassaine A.; Jaoua A. ( IEEE , 2013 , Conference Paper)
      In forensics, the handedness detection or the classification of writers into left or right-handed helps investigators focusing more on a certain category of suspects. However, only a few studies have been carried out in ...
    • Automatic prediction of age, gender, and nationality in offline handwriting 

      Al-Maadeed, Somaya; Hassaine A. ( Hindawi Publishing Corporation , 2014 , Article)
      The classification of handwriting into different categories, such as age, gender, and nationality, has several applications. In forensics, handwriting classification helps investigators focus on a certain category of ...
    • 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 ...
    • 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 ...
    • ICFHR2016 competition on multi-script writer demographics classification using "qUWI" database 

      Djeddi, Chawki; Al-Maadeed, Somaya; Gattal, Abdeljalil; Siddiqi, Imran; Ennaji, Abdellatif; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      This competition is aimed at classification of writer demographics from offline handwritten documents using the QUWI database. QUWI is a bilingual database comprising writing samples of same individuals in Arabic and ...
    • Letter-based classification of Arabic scripts style in ancient Arabic manuscripts 

      Adam K.; Al-Maadeed, Somaya; Bouridane A. ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      Classifying ancient Arabic manuscripts based on handwriting styles is one of the important roles in the field of paleography. Recognizing the style of handwriting in Arabic manuscripts helps in identifying the origin and ...
    • Recognition of off-line handwritten Arabic words using neural network 

      Al-Maadeed, Somaya ( IEEE , 2006 , Conference Paper)
      Neural network (NN) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for unconstrained Arabic handwritten word recognition based on a Neural network is proposed and ...
    • Smartphone-based food recognition system using multiple deep CNN models 

      Fakhrou A.; Kunhoth J.; Al-Maadeed, Somaya ( Springer , 2021 , Article)
      People with blindness or low vision utilize mobile assistive tools for various applications such as object recognition, text recognition, etc. Most of the available applications are focused on recognizing generic objects. ...