Paper
19 February 2014 Self-verifiable paper documents and automatic content verification
Yibin Tian, Xiaonong Zhan, Chaohong Wu, Wei Ming
Author Affiliations +
Proceedings Volume 9028, Media Watermarking, Security, and Forensics 2014; 90280L (2014) https://doi.org/10.1117/12.2037991
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yibin Tian, Xiaonong Zhan, Chaohong Wu, and Wei Ming "Self-verifiable paper documents and automatic content verification", Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280L (19 February 2014); https://doi.org/10.1117/12.2037991
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image compression

Optical character recognition

Printing

CMYK color model

Data centers

Data conversion

Image quality

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