TY - GEN
T1 - Cross-sensor iris verification applying robust fused segmentation algorithms
AU - Llano, Eduardo Garea
AU - Vargas, Juan M.Colores
AU - Garcia-Vazquez, Mireya S.
AU - Fuentes, Luis M.Zamudio
AU - Ramirez-Acosta, Alejandro A.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/29
Y1 - 2015/6/29
N2 - Currently, identity management systems work with heterogeneous iris images captured by different types of iris sensors. Indeed, iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain a stable iris recognition system which is effective for all type of iris sensors. This paper proposes a new cross-sensor iris recognition scheme that increases the recognition accuracy. The novelty of this work is the new strategy in applying robust fusion methods at level of segmentation stage for cross-sensor iris recognition. The experiments with the Casia-V3-Interval, Casia-V4-Thousand, Ubiris-V1 and MBGC-V2 databases show that our scheme increases the recognition accuracy and it is robust to different types of iris sensors while the user interaction is reduced.
AB - Currently, identity management systems work with heterogeneous iris images captured by different types of iris sensors. Indeed, iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain a stable iris recognition system which is effective for all type of iris sensors. This paper proposes a new cross-sensor iris recognition scheme that increases the recognition accuracy. The novelty of this work is the new strategy in applying robust fusion methods at level of segmentation stage for cross-sensor iris recognition. The experiments with the Casia-V3-Interval, Casia-V4-Thousand, Ubiris-V1 and MBGC-V2 databases show that our scheme increases the recognition accuracy and it is robust to different types of iris sensors while the user interaction is reduced.
UR - http://www.scopus.com/inward/record.url?scp=84943230315&partnerID=8YFLogxK
U2 - 10.1109/ICB.2015.7139042
DO - 10.1109/ICB.2015.7139042
M3 - Contribución a la conferencia
AN - SCOPUS:84943230315
T3 - Proceedings of 2015 International Conference on Biometrics, ICB 2015
SP - 17
EP - 22
BT - Proceedings of 2015 International Conference on Biometrics, ICB 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IAPR International Conference on Biometrics, ICB 2015
Y2 - 19 May 2015 through 22 May 2015
ER -