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Copyright © 2022 Sumegh Tharewal et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

A novel multimodal biometric system is proposed using three-dimensional (3D) face and ear for human recognition. The proposed model overcomes the drawbacks of unimodal biometric systems and solves the 2D biometric problems such as occlusion and illumination. In the proposed model, initially, the principal component analysis (PCA) is utilized for 3D face recognition. Thereafter, the iterative closest point (ICP) is utilized for 3D ear recognition. Finally, the 3D face is fused with a 3D ear using score-level fusion. The simulations are performed on the Face Recognition Grand Challenge database and the University of Notre Dame Collection F database for 3D face and 3D ear datasets, respectively. Experimental results reveal that the proposed model achieves an accuracy of 99.25% using the proposed score-level fusion. Comparative analyses show that the proposed method performs better than other state-of-the-art biometric algorithms in terms of accuracy.

Details

Title
Score-Level Fusion of 3D Face and 3D Ear for Multimodal Biometric Human Recognition
Author
Tharewal, Sumegh 1   VIAFID ORCID Logo  ; Malche, Timothy 2   VIAFID ORCID Logo  ; Tiwari, Pradeep Kumar 2   VIAFID ORCID Logo  ; Mohamed Yaseen Jabarulla 3   VIAFID ORCID Logo  ; Abeer Ali Alnuaim 4   VIAFID ORCID Logo  ; Mostafa, Almetwally M 5 ; Mohammad Aman Ullah 6   VIAFID ORCID Logo 

 School of Computer Science, Dr. Vishwanath Karad MIT World Peace University, S. No. 124, Paud Road, Kothrud, Pune 411038, Maharashtra, India 
 Manipal University Jaipur, Jaipur, India 
 School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea 
 Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P.O. BOX 22459, Riyadh 11495, Saudi Arabia 
 Department of Information Systems, College of Computer and Information Sciences, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia 
 Department of Computer Science and Engineering, International Islamic University Chittagong, Chittagong, Bangladesh 
Editor
Ziya Uddin
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
ISSN
16875265
e-ISSN
16875273
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2653898708
Copyright
Copyright © 2022 Sumegh Tharewal et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/