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 …

In this study, the authors present a new feature extraction method for handwritten
Arabic/Persian language word recognition. This feature is based on the angle, number …

Automatic recognition of offline Handwriting in general is a difficult task. However,
comparing with other language, due the nature of Arabic scripts, recognition of Arabic scrip …

Arabic handwriting segmentation and recognition is an area of research that has not yet
been fully understood. Dealing with Arabic ligature segmentation, where the Arabic …

The journey of research for Document Analysis and Recognition (DAR) started with the
problem of automatic character recognition. Today, it has covered a vast span of recognition …

The segmentation of online handwritten Arabic text into graphemes/characters is a
challenging task for the recognition system due to the nature of this script. That is why, it is …

Offline Character segmentation of text images is an important step in many document image
analysis and recognition (DIAR) applications. However, the character segmentation of both …

Character segmentation is one of the most critical phases of Arabic handwriting recognition
systems. The validation of Arabic Handwritten Character Segmentation (AHCS) algorithms …

The communication between people in society is partially replaced with machines as one
part of the process for a few decades. As technology dwelt faster changes, more and more …

In this work, an approach for Arabic handwriting word segmentation is proposed. In this
approach words are over-segmented and the segmentation points (SPs) are then validated …