Since the observables at particular time instants in a temporal sequence exhibit
dependencies, they are not independent samples. Thus, it is not plausible to apply iid …

In this paper, we present multi-font printed Arabic text recognition using hidden Markov
models (HMMs). We propose a novel approach to the sliding window technique for feature …

The problem addressed in this paper is the classification and recognition of Arabic
handwritten characters. As a solution, we present a Neural Network (NN) architecture based …

This paper describes the Arabic Recognition Competition: Multi-font Multi-size Digitally
Represented Text held in the context of the 11 ^th International Conference on Document …

For almost the past four decades, image classification has gained a lot of attention in the
field of pattern recognition due to its application in various fields. Given its importance …

Dimensionality reduction for vectors in sequences is challenging since labels are attached
to sequences as a whole. This paper presents a model-based dimensionality reduction …

Optical Font Recognition (OFR) has been proven to increase Optical Character Recognition
(OCR) accuracy, but it can also help in harvesting semantic information from documents. It …

The role of the optical model in a text recognition system is to model the textual information
written in image documents. This paper compares the performance of four Arabic optical …

The Arabic letters are very different from the latin. Arabic letters can be interconnected with
other letters, in addition, the Arabic letters also have many variety of shapes based on its …

Problem statement: Arabic offline handwriting recognition is considered one of the most
challenging topics. This is probably caused by the fact that Arabic recognition system faced …