DocumentCode
2970525
Title
Embedding biometric watermark on document image using discrete wavelet transform
Author
Lam, Ioi-Tun ; Pun, Chi-Man
Author_Institution
Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China
fYear
2009
fDate
22-24 June 2009
Firstpage
583
Lastpage
588
Abstract
In respect to the issues on privacy, security and legal significance of a document, some sorts of security protections should be put on a document to ensure its genuineness and integrity. In this research, signatories´ biometric fingerprint in digital binary format as a watermark message will be embedded into a gray level document image by discrete wavelet transform. Experimental results show that the proposed method is quite robust to various attacks such as Gaussian white noise, JPEG compression and low-pass filters, and is successfully tested for embedding the fingerprint watermark message and extraction even if the watermarked document image has been attacked by some imitated interferences. In our prototype system, Discrete wavelet transform method can be applied to authenticate the genuine against signatories by comparing signatory´s fingerprint with the fingerprint watermark message extracted from the archived watermarked document image.
Keywords
AWGN; data compression; discrete wavelet transforms; document image processing; fingerprint identification; image coding; low-pass filters; watermarking; Gaussian white noise; JPEG compression; biometric fingerprint; biometric watermark; digital binary format; discrete wavelet transform; gray level document image; low-pass filters; watermark message extraction; Biometrics; Discrete wavelet transforms; Fingerprint recognition; Law; Legal factors; Noise robustness; Privacy; Protection; Security; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location
Zhuhai, Macau
Print_ISBN
978-1-4244-3607-1
Electronic_ISBN
978-1-4244-3608-8
Type
conf
DOI
10.1109/ICINFA.2009.5204990
Filename
5204990
Link To Document