The automatic recognition of text on scanned images has enabled many applications such
as searching for words in large volumes of documents, automatic sorting of postal mail, and …

Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …

We propose a novel algorithm for the segmentation and prerecognition of offline handwritten
Arabic text. Our character segmentation method over-segments each word, and then …

The typical Optical Character Recognition (OCR) systems, regardless the character's nature,
are based mainly on three stages, preprocessing, features extraction and discrimination …

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

The cursive nature of Arabic writing is the main challenge to Arabic Optical Character
Recognition developer. Methods to segment Arabic words into characters have been …

In this paper, an efficient approach to segment Persian off-line handwritten text-line into
characters is presented. The proposed algorithm first traces the baseline of the input text-line …

ABSTRACT A fuzzy recognition model for some handwritten Arabic alphabet is designed.
This fuzzy model could be envisaged as an algorithm which is structured over two concepts …

Several traffic measurements reports have convincingly shown the presence of self-similarity
in current networks, inducing a revolution in the stochastic modeling of traffic. The essence …

Text or handwritten document writing recognition or understanding through characters
whether online or off-line play an important role in many applications, eg recognizing text on …