Recognition of handwritten Arabic cursive texts is a complex task due to the similarities
between letters under different writing styles. In this paper, a word-based off-line recognition …

Off-line recognition of text play a significant role in several application such as the automatic
sorting of postal mail or editing old documents. It is the ability of the computer to distinguish …

Data annotation is an important but time-consuming and costly procedure. To sort a text into
two classes, the very first thing we need is a good annotation guideline, establishing what is …

Optical character recognition (OCR) is essential in various real-world applications, such as
digitizing learning resources to assist visually impaired people and transforming printed …

Off-line Arabic handwriting recognition and segmentation has been a popular field of
research for many years. It still remains an open problem. The challenging nature of …

One of the most important steps in a handwriting recognition system is text-line and word
segmentation. But, this step is made difficult by the differences in handwriting styles …

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 …

The challenge in handwriting recognition, especially in the segmentation process, took the
researchers' attention. These Arabic handwritten text processes are a challenging job …

There are much heavy studies on handwritten character recognition (HCR) for nearly
previous four decades. The research on some of the common script like Arabic, Indian and …

Text recognition is an important area of the pattern recognition field. Natural language
processing (NLP) and pattern recognition have been utilized efficiently in script recognition …