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 …

In this paper we are presenting a new database with handwritten Arabic town/village names.
For each name the ground truth information, eg the sequence of character shapes, some …

We introduce a general formulation, called non-negative graph embedding, for non-negative
data decomposition by integrating the characteristics of both intrinsic and penalty graphs …

An offline recognition system for Arabic handwritten words is presented. The recognition
system is based on a semi-continuous 1-dimensional HMM. From each binary word image …

A 5th generation SPARC64 processor is fabricated in 130nm SOI CMOS process with 8
layers of Cu metallization. It runs at 1.3 GHz with 34.7 W power dissipation in the laboratory …

In order to improve the readability and the automatic recognition of handwritten document
images, preprocessing steps are imperative. These steps in addition to conventional steps of …

The proposed technique is based on the detection of the lower baselines of the text lines of
Arabic documents. As the lower baseline pixels belong to the lower edge of the word …

In this paper we present a system for offline recognition cursive Arabic handwritten text
based on Hidden Markov Models (HMMs). The system is analytical without explicit …

Layout analysis is a fundamental process in document image analysis and understanding. It
contains three key sub-processes which are page segmentation, text line segmentation and …