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 …

Abstract Bernoulli HMMs are conventional HMMs in which the emission probabilities are
modeled with Bernoulli mixtures. They have recently been applied, with good results, in off …

The recognition of Arabic text, in both handwritten and printed forms, represents a fertile
provenance of technical difficulties for Optical Character Recognition (OCR). Indeed, the …

Unconstrained text recognition is a stimulating field in the branch of pattern recognition. This
field is still an open search due to the unlimited vocabulary, multi styles, mixed-font and their …

Handwritten text recognition is an active and challenging area of research in the field of
pattern recognition. This area of research although, witnessing great progress in recent …

The NIST Open Handwriting Recognition and Translation Evaluation 2013 (NIST
OpenHaRT'13) is a performance evaluation assessing technologies that transcribe and …

Based on its content, an image document in Optical Character Recognition (OCR) field can
be either monolingual image document or multilingual image document. Typically, OCR …

To our knowledge, there are only few systems that are able to automatically translate
handwritten text images into another language, in particular, Arabic. Typically, the available …