International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 131

Kenya | Mathematics | Volume 6 Issue 7, July 2017 | Pages: 314 - 317


Algorithm Design to Enhance Error Detection and Correction in the ISBN

Waweru Kamaku

Abstract: The Conventional ISBN-13 has major limitations in Error detection and Correction capabilities with previous research showing that these capabilities could also limit the number of codewords that the code generates. This paper discusses the algorithm design of a new ISBN-16 code working modulo 17. The code is specifically designed to maximize the number of codewords and at the same time enhance error detection and correction capabilities. It is further shown that the new code addresses the weaknesses in the conventional ISBN-13 and can therefore replace it in identification of books universally.

Keywords: ISBN, Error Detection, Error Correction



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