The issue of handwritten recognition in Arabic script nature has attracted many researchers
from both academic and industrial fields. But their efforts have not reached satisfying …

In this paper, we present a segmentation‐based method for offline Farsi handwritten word
recognition. Although most segmentation‐based systems suffer from segmentation errors …

In Arabic, word extraction is particularly challenging because words are often divided into
sub-words, and a few letters do not connect to the following letter. In this paper, we present …

In this paper, we proposed a novel method for text line segmentation of Tibetan historical
document image with uchen script based on contour tracking. Our method is mainly to …

This paper presents an approach to extract curved text lines from Arabic handwritten
documents, based on the perception mechanisms involved in the human reading process …

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 …

Collecting, archiving, and analyzing handwritten documents are still indispensable acts as
people continue to use paper documents. In addition, these archives are an endless source …

Huge amount of handwritten documents can be treated by intelligent systems in order to
retrieve information using text queries instead of manually searching in the scanned images …

Text line segmentation from handwriting image is the basis of handwriting text image
processing, and the accuracy of line segmentation plays a decisive role in handwriting …

Mobile Ad Hoc Network (MANET) is a special and attractive type of new wireless networks. It
is an autonomous system that can dynamically be set up anywhere and anytime without …