TY - GEN
T1 - Heterogeneity aware deep embedding for mobile periocular recognition
AU - Garg, Rishabh
AU - Baweja, Yashasvi
AU - Ghosh, Soumyadeep
AU - Singh, Richa
AU - Vatsa, Mayank
AU - Ratha, Nalini
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Mobile biometric approaches provide the convenience of secure authentication with an omnipresent technology. However, this brings an additional challenge of recognizing biometric patterns in an unconstrained environment including variations in mobile camera sensors, illumination conditions, and capture distance. To address the heterogeneous challenge, this research presents a novel heterogeneity aware loss function within a deep learning framework. The effectiveness of the proposed loss function is evaluated for periocular biometrics using the CSIP, IMP and VISOB mobile periocular databases. The results show that the proposed algorithm yields state-of-the-art results in a heterogeneous environment and improves generalizability for cross-database experiments.
AB - Mobile biometric approaches provide the convenience of secure authentication with an omnipresent technology. However, this brings an additional challenge of recognizing biometric patterns in an unconstrained environment including variations in mobile camera sensors, illumination conditions, and capture distance. To address the heterogeneous challenge, this research presents a novel heterogeneity aware loss function within a deep learning framework. The effectiveness of the proposed loss function is evaluated for periocular biometrics using the CSIP, IMP and VISOB mobile periocular databases. The results show that the proposed algorithm yields state-of-the-art results in a heterogeneous environment and improves generalizability for cross-database experiments.
UR - https://www.scopus.com/pages/publications/85065390818
U2 - 10.1109/BTAS.2018.8698551
DO - 10.1109/BTAS.2018.8698551
M3 - Conference contribution
AN - SCOPUS:85065390818
T3 - 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018
BT - 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2018
Y2 - 22 October 2018 through 25 October 2018
ER -