Abstract

Volunteer computing or volunteer grid computing constitute a very promising infrastructure which provides enough computing and storage powers without any prior cost or investment. Indeed, such infrastructures are the result of the federation of several, geographically dispersed, computers or/and LAN computers over the Internet. Berkeley Open Infrastructure for Network Computing (BOINC) is considered the most well- known volunteer computing infrastructure. In this paper, we are interested, rather, by the distribution of the Arabic OCR (Optical Character Recognition) based on the DTW (Dynamic Time Warping) algorithm on the BOINC, in order, to prove again that volunteer computing provides very interesting and promising infrastructures to speed up, at will, several greedy algorithms or applications, especially, the Arabic OCR based on the DTW algorithm. What makes very attractive the Arabic OCR based on the DTW algorithm is the following, first, its ability to recognize, properly, words or sub words, without any prior segmentation, from within a reference library of isolated characters. Second, its good immunity against a wide range of noises. Obtained first results confirm, indeed, that the Berkeley Open Infrastructure for Network Computing constitutes an interesting and promising framework to speed up the Arabic OCR based on the DTW algorithm.

Highlights

  • Arabic OCR based on the DTW algorithm provides very interesting recognition and segmentation rates

  • We show how volunteer computing such as Berkeley Open Infrastructure for Network Computing (BOINC) can speed up the execution time of Arabic OCR based on the DTW algorithm

  • Our experiments aim at proving that volunteer computing present, interesting infrastructures to speed up the execution process of the Arabic OCR based on the DTW algorithm

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Summary

INTRODUCTION

Arabic OCR based on the DTW algorithm provides very interesting recognition and segmentation rates. Several solutions and approaches have been proposed to speed up the DTW algorithm, [1], [7], [8], [4], [9], [5]. In this paper we show and confirm, through an experimental study, how volunteer computing, which present the advantage to be costless, can speed up, substantially the execution time of the Arabic OCR using the DTW algorithm. The reminder of this paper is organized as follows; section (2) describes the Arabic OCR using the DTW algorithm. The proposed approach and the corresponding performance evaluation are detailed in Section (4). Conclusion remarks and some future investigation are presented in section (5)

MECHANISM OF THE ARABIC OCR BASED ON THE DTW ALGORITHM
VOLUNTEER COMPUTING AND BOINC
THE DTW DATA DISTRIBUTION OVER BOINC
Experimental Study
Findings
CONCLUSION AND PERSPECTIVE
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