Title :
Text integrity verification for faxed document using pixel reorganizing technique
Author :
Pramoun, Thitiporn ; Amornraksa, Thumrongrat
Author_Institution :
Comput. Eng. Dept., King Mongkut´s Univ. of Technol., Bangkok, Thailand
Abstract :
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.
Keywords :
cameras; document image processing; security of data; text analysis; MAC algorithm; RST distortions; captured image; digital camera; fax machine; faxed document image; malicious person; pixel reorganizing technique; rotation, scaling and translation distortions; text content; text integrity verification; Authentication; Digital cameras; Facsimile; Image recognition; Printers; Software; Text recognition; MAC algorithm; RST (rotation, scaling and translation) distortions; digital camera; faxed document image; text integrity verification;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th International Conference on
Conference_Location :
Krabi
Print_ISBN :
978-1-4799-0546-1
DOI :
10.1109/ECTICon.2013.6559642