The Arabic alphabet is used in around 27 languages, including Arabic, Persian, Kurdish,
Urdu, and Jawi. Many researchers have developed systems for recognizing cursive …

In this chapter, we present baseline detection challenges for Arabic script based languages
and targeted Nastaliq and Naskh writing style. Baseline is an important step in the OCR as it …

In the cursive handwriting recognition process, script trajectory segmentation and modeling
represent an important task for large or open lexicon context that becomes more …

Большое внимание в последнее время уделяется проблеме распознавания образов,
изображений, текста, речи. В рамках данной статьи рассматривается проблема …

The purpose of this research is to improve the recognition rate of on-line Arabic handwriting
recognition using HMM (Hidden Markov Model). Delayed strokes are removed from the on …

Maximum production of crops mostly depended on proper management of weeds. In this
paper we proposed an automated weed control system which can differentiate the weeds …

We present in this paper two hybrid segmentation methods of handwritten Arabic script. Both
methods allow the segmentation of Arabic document in text lines and the segmentation of …

Character recognition has been fascinating and intense field of pattern recognition research
since early days of computer. This task becomes more challenging when it involves Urdu …

To recognize unlimited set of handwritten Arabic words, an efficient segmentation algorithm
is needed to segment these cursive words into a limited set of primal graphemes. We …

This paper proposes a recognition system for handling Arabic literal amounts based on
three proposed strategies. First, an enhanced feature extraction model based on the part of …