Fusion of Iris Texture with Finger Vein Geometry for Authentication
Sudhamani M J1, M K Venkatesha2
1Sudhamani M. J, RNS Institute of Technology, Bengaluru (Karnataka), India.
2M.K Venkatesha, RNS Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 176-180 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2629018319/19©BEIESP
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© 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: A framework for feature level fusion-based authentication system is proposed in this paper. Feature level fusion improves the robustness and classification accuracy compared to unimodal authentication system. This work is carried in two-folds. The first experiment fuses the translation, rotation and scale (TRS) invariant statistical features of iris with finger vein. The second experiment contemplates geometrical, structural and statistical properties of finger vein with local and statistical features of iris.
Keyword: Fusion Texture Authentication Classification.
Scope of the Article: Authentication, Authorization, Accounting