An efficient and secure digital image watermarking using features from iris image

Malay Kishore Dutta, Anushikha Singh, Tanveer Zia

Research output: Book chapter/Published conference paperConference paperpeer-review

12 Citations (Scopus)

Abstract

The existing digital watermarking schemes use a digital pattern like pseudorandom number sequence, a logo image or a digital signature as the watermark. Use of such watermarks is not convincing as the ownership of such a watermark is not clear for ownership claims. This paper proposes an efficient digital watermark generation technique from biometric iris data which will be unique and can be owned to prove ownership. The issue of ownership of digital watermark is addressed in this paper. The biometric pattern of iris image is used to generate the digital watermark that has a stamp of ownership. The digital pattern generated the from the iris image is found to be unique and can be clearly used for identification. Discrete cosine transformation is used for watermarking the digital image. Experimental results indicate that the watermark can survive the signal processing attacks and maintain the perceptual properties of the host signal satisfying the design requirements of digital watermarking. The extracted biometric based watermark was uniquely identified under signal processing attacks using correlation based methods.
Original languageEnglish
Title of host publication2013 International Conference on Control Communication and Computing (ICCC)
Place of PublicationUS
PublisherIEEE Digital Explore
Pages451-456
Number of pages6
ISBN (Electronic)9781479905737
DOIs
Publication statusPublished - 2013
EventIEEE International Conference on Control, Communication and Computing - Trivandrum, Kerala, India
Duration: 13 Dec 201315 Dec 2013

Conference

ConferenceIEEE International Conference on Control, Communication and Computing
Country/TerritoryIndia
CityKerala
Period13/12/1315/12/13

Fingerprint

Dive into the research topics of 'An efficient and secure digital image watermarking using features from iris image'. Together they form a unique fingerprint.

Cite this