Integrated Discrete Wavelet Transform and Singular Value Decomposition based Biometric Watermarking for Authentication using Iris Images
S. Joyce1, S. Veni2
1S. Joyce, Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, India.
2Dr. S. Veni, Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4672-4679 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8502118419/2019©BEIESP | DOI: 10.35940/ijrte.D8502.118419

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Abstract: Recently with respect to developments in watermarking techniques, intruders are capable of accessing the database. Several strategies are designed for securing information. Utilization of watermarks will be recommended with the background pertaining to several biometric strategies comprising fingerprints, position of palm, gait, iris, speech, etc. Among the available approaches digital watermarking will be one of the effective techniques. Prominent manner of carrying out the digital watermarking will be spatial domain along with strong transform domain. This paper establishes a strategy for providing the watermark, besides biometric information by utilizing Wavelet Transform in addition to Singular Value Decomposition. Utilization of biometric rather than conservative watermark enhances protection of information. The utilized biometric will be iris. Consideration of iris template as watermark guarantees iris pattern communication, whereas watermarking iris images might be involved in assisting, safeguarding of information in addition to identification of iris image moderation. The mentioned work involved in carrying out analysis means checking the authentication under various attacks along with no attacks. Motivation in utilization of watermarking will depend on enhancement in the field of biometric recognition. On the other hand, utilization of biometric patterns as “message” has to be designed with conservative strong watermarking for safeguarding the information. So as to ensure biometric appreciation to the development of watermark.
Keywords: Biometrics, Discrete Wavelet Transform, Iris Images, Watermarking.
Scope of the Article: Component-Based Software Engineering.