High-Capacity Invisible Background Encoding for Digital Authentication of Hardcopy Documents

Geisselhardt, Walter; Iqbal, Taswar

doi:10.1007/978-3-540-92238-4_16

Cited by 3 publications

(1 citation statement)

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“…Although, most of them were not focused on the subject of integrity verification of text in faxed document, some of them were, and are studied and listed here. For instance, Geisselhardt et al [1] proposed an authentication approach for hard copy document based on a preferably invisible encoded portion, and a method for generating such document in which the encoded portion allowed an optimized high capacity of data to be read with security or only few errors. Their method prevented the printed content on hard copy document against forgery attacks, and did not affect the aesthetic appearance of the document in the area of secret communication such as military communication.…”

Section: Introductionmentioning

confidence: 99%

Text integrity verification for faxed document using pixel reorganizing technique

Pramoun

Amornraksa

2013

2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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since text in faxed document can be altered by malicious person who can get the faxed document directly from fax machine without permission from the real recipient, the method of text integrity verification for faxed document is proposed to detect any modification of text content in the faxed document. To solve such problem, digital camera is first employed to capture the faxed document in order to obtain a faxed document image. However, there will be some RST (rotation, scaling and translation) distortions occurring in that captured image, which consequently affects the accuracy of text integrity verification, we thus propose pixel reorganizing technique to reduce such distortions. Text content in the faxed document image is then verified based on the use of MAC algorithm in order to detect any altered text in the faxed document. The experimental results show the efficiency of our proposed method with various text font sizes in detecting altered text content in the faxed documents.

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Section: Introductionmentioning

confidence: 99%