TY - GEN
T1 - Biological features De-identification in iris images
AU - Zhang, Heng
AU - Zhou, Huan
AU - Jiao, Wenming
AU - Shi, Jie
AU - Zang, Qiyan
AU - Sun, Jing
AU - Zhang, Jian
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Biometric authentication has recently become hugely popular in mobile social networks. Iris recognition, a typical biometric authentication technology, has been widely used in many fields. However, it can lead to serious consequences if the iris feature information is utilized by an illegal party. Thus, a critical issue is how to preserve iris features when the human's images are used in mobile social networks. In this paper, we first introduce an approach to identify the iris area in an eye image. By means of differential privacy, we present a de-identification algorithm on the iris area to preserve iris biological features. A remarkable advantage of our approach is that it only conceals the iris biological features but does not change the other parts of the given image. A simulation example is provided to show the effectiveness of our de-identification method at last.
AB - Biometric authentication has recently become hugely popular in mobile social networks. Iris recognition, a typical biometric authentication technology, has been widely used in many fields. However, it can lead to serious consequences if the iris feature information is utilized by an illegal party. Thus, a critical issue is how to preserve iris features when the human's images are used in mobile social networks. In this paper, we first introduce an approach to identify the iris area in an eye image. By means of differential privacy, we present a de-identification algorithm on the iris area to preserve iris biological features. A remarkable advantage of our approach is that it only conceals the iris biological features but does not change the other parts of the given image. A simulation example is provided to show the effectiveness of our de-identification method at last.
UR - http://www.scopus.com/inward/record.url?scp=85063696290&partnerID=8YFLogxK
U2 - 10.1109/I-SPAN.2018.00020
DO - 10.1109/I-SPAN.2018.00020
M3 - 会议稿件
AN - SCOPUS:85063696290
T3 - Proceedings - 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018
SP - 67
EP - 71
BT - Proceedings - 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Symposium on Pervasive Systems, Algorithms and Networks, I-SPAN 2018
Y2 - 16 October 2018 through 18 October 2018
ER -