Paper
18 January 2010 Detecting modifications in paper documents: a coding approach
Yogesh Sankarasubramaniam, Badri Narayanan, Kapali Viswanathan, Anjaneyulu Kuchibhotla
Author Affiliations +
Proceedings Volume 7534, Document Recognition and Retrieval XVII; 75340A (2010) https://doi.org/10.1117/12.838122
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
This paper presents an algorithm called CIPDEC (Content Integrity of Printed Documents using Error Correction), which identifies any modifications made to a printed document. CIPDEC uses an error correcting code for accurate detection of addition/deletion of even a few pixels. A unique advantage of CIPDEC is that it works blind - it does not require the original document for such detection. Instead, it uses fiducial marks and error correcting code parities. CIPDEC is also robust to paper-world artifacts like photocopying, annotations, stains, folds, tears and staples. Furthermore, by working at a pixel level, CIPDEC is independent of language, font, software, and graphics that are used to create paper documents. As a result, any changes made to a printed document can be detected long after the software, font, and graphics have fallen out of use. The utility of CIPDEC is illustrated in the context of tamper-proofing of printed documents and ink extraction for form-filling applications.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yogesh Sankarasubramaniam, Badri Narayanan, Kapali Viswanathan, and Anjaneyulu Kuchibhotla "Detecting modifications in paper documents: a coding approach", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340A (18 January 2010); https://doi.org/10.1117/12.838122
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Remote sensing

Visualization

Printing

Scanners

Digital imaging

Image restoration

Binary data

RELATED CONTENT

Periodic image artifacts in digital halftone prints
Proceedings of SPIE (October 01 1990)
Analog image backup with steganographic halftones
Proceedings of SPIE (January 25 2011)
Reading digital data embedded in iconic text
Proceedings of SPIE (April 01 1998)
Simple spatial processing for color mappings
Proceedings of SPIE (May 30 2002)
Partitioning of the degradation space for OCR training
Proceedings of SPIE (January 16 2006)

Back to Top