This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …

Recently, deep learning techniques demonstrated efficiency in building better performing
machine learning models which are required in the field of offline Arabic handwriting …

Due to the nature of Arabic handwriting, segmenting words into characters/graphemes is the
most difficult and critical task of the recognition system. The present paper proposes an …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Developing an optimal …

Sleep is an indispensable physiological activity for human beings, which can supplement,
enhance resistance, promote the normal growth and development, gets sufficient rest of …

The research community considers handwritten word recognition (HWR) as an open
research problem to date. The reasons behind this are variations in intra-/interpersonal …

Handwriting recognition is a challenge that interests many researchers around the world. As
an exception, handwritten Arabic script has many objectives that remain to be overcome …

Arabic handwritten recognition systems face several challenges such as the very diverse
scripting styles, the presence of pseudo-words and the position-dependent shape of a …

The advanced digital cockpit system we are developing now recognizes the driver's
condition and emotions and analyzes the driver's behavior to give appropriate visual and …

The main aim of this study is the assessment and discussion of a model for hand-written
Arabic through segmentation. The framework is proposed based on three steps: pre …