Integrity Check for Printed Binary Document Images
Following the digital revolution, many documents have been converted to the digital format and saved in computers. Documents are usually printed using black and white printers when converted to hardcopy documents. The printed documents may be scanned to computers as a binary text images. However, ha...
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Published in | Networked Digital Technologies pp. 523 - 532 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010
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Series | Communications in Computer and Information Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783642143052 3642143059 |
ISSN | 1865-0929 1865-0937 |
DOI | 10.1007/978-3-642-14306-9_52 |
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Summary: | Following the digital revolution, many documents have been converted to the digital format and saved in computers. Documents are usually printed using black and white printers when converted to hardcopy documents. The printed documents may be scanned to computers as a binary text images. However, hard copy documents are subject to forgery. Also, a scanned document cannot be an exact replica of its original version because of the additional noise caused by D.A conversion. Therefore, it has been essential to check the integrity of scanned documents to detect and locate alternations in forged documents and validate unaltered scanned images. It is unreasonable to keep records of original copies for each printed document for authentication purposes. Thus, it is better to embed information about the document contents into the document itself. In this paper, a self-validating binary document images to validate hardcopy black and white text image. |
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ISBN: | 9783642143052 3642143059 |
ISSN: | 1865-0929 1865-0937 |
DOI: | 10.1007/978-3-642-14306-9_52 |