DocumentCode :
2760254
Title :
A Blind Watermarking Method with Strong Robust Based on 2D-Barcode
Author :
Feng, Xiaofei ; Ji, Xingzhong
Author_Institution :
Coll. of Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Volume :
2
fYear :
2009
fDate :
25-26 July 2009
Firstpage :
452
Lastpage :
456
Abstract :
A watermarking technique based on 2D-barcode and human visual system is proposed. A structured 2D-barcode, PDF417, is used as watermark . In order to reduce the inserting watermark data, the 2D-barcode is preprocessed before inserted through omitting border of barcode, heading and ending characters , reducing barcodepsilas modules and scrambling the watermark based on chaotic sequence. A mask of the source image is modulated based on wavelet transform and a best region is chosen by using the human visual system performance. It is a blind watermarking system because the extraction and detection are independent on any original information in prior of inserting operation, restoring the heading and ending characters of the barcode. This technique enhanced the robust through watermark structure and embedding algorithm, which strengthens the resistance for different attacks.
Keywords :
bar codes; chaos; character recognition; image coding; image restoration; image sequences; modulation; watermarking; wavelet transforms; PDF417; blind watermarking method; chaotic sequence; ending character restoration; heading character restoration; human visual system; inserting operation; source image modulation; structured 2D-barcode; watermark scrambling; wavelet transform; Chaos; Data mining; Educational institutions; Humans; Immune system; Information technology; Robustness; Visual system; Watermarking; Wavelet transforms; 2D-barcode; HVS; digital watermrk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
Type :
conf
DOI :
10.1109/ITCS.2009.231
Filename :
5190277
Link To Document :
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