The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …

Contention for shared memory, in the forms of true sharing and false sharing, is a
challenging performance bug to discover and to repair. Understanding cache contention …

In this digital world, accurate text identification and recognition has become an important key
area of image document analysis and processing. Textual data, ranging from simple to …

Our ultimate objective is to contribute to the field of script and nature identification to be able
to differentiate, at word level, handwritten or machine-printed, Arabic and Latin scripts …

This paper introduces a new method for controlling selection pressure in fine-grained
parallel GAs. Our model, inspired by percolation theory, employs a" seeding" mechanism …

Most of the public and government documents in Arabic states are typed or written in
bilingual forms; Arabic and Latin languages; such as railway reservation slips, bank …

In this paper, we present an approach for Arabic and Latin script and its type identification
based onHistogram of Oriented Gradients (HOG) descriptors. HOGs are first applied at word …

In this paper, we propose a novel script-independent approach for word spotting in printed
and handwritten multi-script documents. Since each writing type and script need to be …

This paper considers the problem of script and nature identification at word level. We
introduce Pyramid Histogram of Oriented Gradients (PHOG) features which have been …

In this paper we propose a structured prediction based system for text/non-text classification
and printed/handwritten texts separation at connected component (CC) level in complex …