Sparse coding joint decision rule for ear print recognition

Guermoui Mawloud; Djamel Melaab; Mohamed Lamine Mekhalfi

doi:10.1117/1.OE.55.9.093105

22 September 2016 Sparse coding joint decision rule for ear print recognition

Guermoui Mawloud, Djamel Melaab, Mohamed Lamine Mekhalfi

Author Affiliations +

Optical Engineering, Vol. 55, Issue 9, 093105 (September 2016). https://doi.org/10.1117/1.OE.55.9.093105

Abstract

Human ear recognition has been promoted as a profitable biometric over the past few years. With respect to other modalities, such as the face and iris, that have undergone a significant investigation in the literature, ear pattern is relatively still uncommon. We put forth a sparse coding-induced decision-making for ear recognition. It jointly involves the reconstruction residuals and the respective reconstruction coefficients pertaining to the input features (co-occurrence of adjacent local binary patterns) for a further fusion. We particularly show that combining both components (i.e., the residuals as well as the coefficients) yields better outcomes than the case when either of them is deemed singly. The proposed method has been evaluated on two benchmark datasets, namely IITD1 (125 subject) and IITD2 (221 subjects). The recognition rates of the suggested scheme amount for 99.5% and 98.95% for both datasets, respectively, which suggest that our method decently stands out against reference state-of-the-art methodologies. Furthermore, experiments conclude that the presented scheme manifests a promising robustness under large-scale occlusion scenarios.

Citation Download Citation

Guermoui Mawloud, Djamel Melaab, and Mohamed Lamine Mekhalfi "Sparse coding joint decision rule for ear print recognition," Optical Engineering 55(9), 093105 (22 September 2016). https://doi.org/10.1117/1.OE.55.9.093105

Published: 22 September 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available