Efficient Image Retrieval Techniques for Multi Biometric Images to Improve Biometric Authentication
D. Binu1, M. Vignesh2

1Dr. D. Binu*, Assistant Professor(Selection Grade), Sri Ramakrishna Institute of Technology, Coimbatore, India.
2Mr. M.Vignesh, Assistant Professor, Sri Ramakrishna Institute of Technology, Coimbatore.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 443-446 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6694018520/2020©BEIESP | DOI: 10.35940/ijrte.E6694.018520

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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: Multi model biometrics security is focused on recognizing human depends on non identical physical and behavioral features. In physical, recognition of the human features like iris, face, finger-prints and palm print are normally used to improve the security and proper authentication. Recent days, biometrics based identification is used in home automation, bank locker system; attendance maintenance system, crime branch etc.. to identify the human for providing secured services. The proposed multi model biometrics system recognizes the human based on physical traits like iris, finger- print, faces and palm- print to obtain better retrieval accuracy, precision and retrieval speed and reduced error rate, retrieval time and computation time.
Keywords: Biometric security, Indexing Level Fusion, Performance measures, Computation time, Multi-Model Retrieval.
Scope of the Article: Multimedia and Hypermedia Software Engineering.