Steganography for retinal biometrics
Krishnaraj Chadaga1, Srikanth Prabhu2, Musica Supriya3
1Mr.Krishnaraj Chadaga*, Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal.
2Ms. Musica Supriya, Assistant Professor, Department of Computer Science & Engineering Manipal. Institute of Technology, Manipal – Karnataka.
3Dr. Srikanth Prabhu, Member IEEE, Member ACM, Completed Schooling from Delhi Public School, Bhilai.
Manuscript received on November 13, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 527-532 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6497129219/2019©BEIESP | DOI: 10.35940/ijitee.B6497.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The retinal pattern biometrics varies to every individual and it is one of the most efficient form of identification. Retinal scanners use infrared rays along with non-invasive color retinal cameras and are very effective in getting a retinal image. We differentiate retinas using segmentation of retinal vascular branch. Further Bifurcation and cross over points are used Steganography is the art of hiding information within another file which can be image, video, audio, text etc. After getting the retinal details, steganographic methods are used to transfer this file securely over the internet. Once received at the receiver, it can be used for verification of user authenticity
Keywords: Biometrics, Non-invasive, Vascular Branch, Bifurcation, Cross Over Points, Geometric Hashing, Steganography
Scope of the Article: Cross-Layer Optimization