We present an omnifont, unlimited-vocabulary OCR system for English and Arabic. The
system is based on hidden Markov models (HMM), an approach that has proven to be very …

This paper introduces a script-independent methodology for multi-lingual offline handwriting
recognition (OHR) based on the use of Hidden Markov Models (HMM). The OHR …

This paper presents a script-independent methodology for optical character recognition
(OCR) based on the use of hidden Markov models (HMM). The feature extraction, training …

Recent research has demonstrated that spectrograms containing human speech utterances
can be analyzed using image processing techniques to yield a high recognition rate. In …

In image analysis, two-dimensional Markov models, ie Markov field models, have been
applied for segmentation purposes, but except for the area of text recognition, the …

We present a methodology for OCR that exhibits the following properties: script-independent
feature extraction, training, and recognition components; no separate segmentation at the …

We present a language-independent optical character recognition system that is capable, in
principle, of recognizing printed text from most of the world's languages. For each new …

Although many test case prioritization techniques exist, their performance is far from perfect.
Hence, we propose a new fault-based test case prioritization technique to promote fault …

The Brahmi descended Sinhala script is used by 75% of the 18 million population in Sri
Lanka. To the best of our knowledge, none of the Brahmi descended scripts used by …

The amount of content on the web has increased dramatically since the Internet began
providing users with the ability to produce content. Initial work on original text production has …