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Proceedings Paper

Self-verifiable paper documents and automatic content verification
Author(s): Yibin Tian; Xiaonong Zhan; Chaohong Wu; Wei Ming
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Paper Abstract

This report describes a method for the creation and automatic content verification of low-cost self-verifiable paper documents. The image of an original document is decomposed to symbol templates and their corresponding locations. The resulting data is further compressed and encrypted, and encoded in custom designed high-capacity color barcodes. The original image and barcodes are printed on the same paper to form a self-verifiable authentic document. During content verification, the paper document is scanned to obtain the barcodes and target image. The original image is reconstructed from data extracted from the barcodes, which is then registered with and compared to the target image. The verification is carried out hierarchically from the entire image down to word and symbol levels. For symbol level comparison, multiple types of features and shape matching are utilized in a cascade. The proposed verification method is inexpensive, robust and fast. Evaluation on 216 character tables and 102 real documents achieved greater than 99% alteration detection rate and less than 1% false positives at the word/symbol level.

Paper Details

Date Published: 19 February 2014
PDF: 8 pages
Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280L (19 February 2014); doi: 10.1117/12.2037991
Show Author Affiliations
Yibin Tian, Konica Minolta Lab. USA, Inc. (United States)
Xiaonong Zhan, Konica Minolta Lab. USA, Inc. (United States)
Chaohong Wu, Konica Minolta Lab. USA, Inc. (United States)
Wei Ming, Konica Minolta Lab. USA, Inc. (United States)


Published in SPIE Proceedings Vol. 9028:
Media Watermarking, Security, and Forensics 2014
Adnan M. Alattar; Nasir D. Memon; Chad D. Heitzenrater, Editor(s)

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