A new document authentication method by embedding deformation characters

Xianliang Wang; Xiaoqing Ding; Hailong Liu; Changsong Liu

doi:10.1117/12.642128

16 January 2006 A new document authentication method by embedding deformation characters

Xianliang Wang, Xiaoqing Ding, Hailong Liu, Changsong Liu

Proceedings Volume 6067, Document Recognition and Retrieval XIII; 60670G (2006) https://doi.org/10.1117/12.642128
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Document authentication decides whether a given document is from a specific individual or not. In this paper, we propose a new document authentication method in physical (after document printed out) domain by embedding deformation characters. When an author writers a document to a specific individual or organization, a unique error-correcting code which serves as his Personal Identification Number (PIN) is proposed and then some characters in the text line are deformed according to his PIN. By doing so, the writer's personal information is embedded in the document. When the document is received, it is first scanned and recognized by an OCR module, and then the deformed characters are detected to get the PIN, which can be used to decide the originality of the document. So the document authentication can be viewed as a kind of communication problems in which the identity of a document from a writer is being "transmitted" over a channel. The channel consists of the writer's PIN, the document, and the encoding rule. Experimental result on deformation character detection is very promising, and the availability and practicability of the proposed method is verified by a practical system.

Citation Download Citation

Xianliang Wang, Xiaoqing Ding, Hailong Liu, and Changsong Liu "A new document authentication method by embedding deformation characters", Proc. SPIE 6067, Document Recognition and Retrieval XIII, 60670G (16 January 2006); https://doi.org/10.1117/12.642128

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KEYWORDS

Forward error correction

Computer programming

Optical character recognition

Principal component analysis

Binary data

Digital watermarking

Printing

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