In this paper, we propose a new font and size identification method for ultra-low resolution
Arabic word images using a stochastic approach. The literature has proved the difficulty for …

Abstract Optical Character Recognition OCR is an essential part of many real-world
applications such as digital archiving, automatic number plate recognition, handle cheques …

Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It
has attracted the interest of a wide range of researchers. However, the nature of the Arabic …

In analytical systems of Arabic text recognition, segmentation is a critical and decisive stage.
In this stage, words after being extracted from the text document are segmented into …

Text line extraction from a text document image and segmenting it into isolate words and
segmenting these words into individual characters are considered as one of the most critical …

In this paper, we present a new approach to offline OCR (optical character recognition) for
printed Persian subwords using wavelet packet transform. The proposed algorithm is used …

As technologies grow machines are gaining more and more human like intelligence.
Despite the fact that they have no intelligence on their own, due to advancements in Artificial …

Line segmentation performs a significant stage in the OCR systems; it has a direct effect on
the character segmentation stage which affects the recognition rate. In this paper a robust …

Current developments in sensors open new possible uses across numerous real-life
applications, including optical character recognition (OCR). An OCR system requires …

A new segmentation algorithm for multifont Farsi/Arabic texts based on conditional labeling
of up and down contours was presented in [1]. A preprocessing technique was used to …