Abstract

Attacks to biometric data are the primary danger to the self-security of biometrics. To improve the iris feature template data security, a data hiding approach based on bit streams is proposed, in which an iris feature template is embedded into a face image. The proposed approach is applicable to present dominant techniques of iris recognition. With the low computation cost and the zero decoding-error-rate, this data hiding approach, embedding target biometric data into other biometric data for improving the security of target data in identity recognition, data storage and transmission, can deceive attackers more effectively. Furthermore, it does not degrade the iris recognition performances. Experimental results prove that the proposed approach can be used to protect iris feature templates and enhance the security of the iris recognition system itself.

© 2008 Chinese Optics Letters

Double random phase encoding for cancelable face and iris recognition

Randa F. Soliman, Ghada M. El Banby, Abeer D. Algarni, Mohamed Elsheikh, Naglaa F. Soliman, Mohamed Amin, and Fathi E. Abd El-Samie
Appl. Opt. 57(35) 10305-10316 (2018)

Cancelable biometric system for IoT applications based on optical double random phase encoding

Gerges M. Salama, Safaa El-Gazar, Basma Omar, Rana M. Nassar, Ashraf A. M. Khalaf, Ghada M. El-banby, Hesham F. A. Hamed, Walid El-shafai, and Fathi E. Abd el-samie
Opt. Express 30(21) 37816-37832 (2022)

Extending the imaging volume for biometric iris recognition

Ramkumar Narayanswamy, Gregory E. Johnson, Paulo E. X. Silveira, and Hans B. Wach
Appl. Opt. 44(5) 701-712 (2005)

Optimal wavelength band clustering for multispectral iris recognition

Yazhuo Gong, David Zhang, Pengfei Shi, and Jingqi Yan
Appl. Opt. 51(19) 4275-4284 (2012)

Optical encoding and hiding scheme for a double image based on chaotic fingerprint phase masks and phase-shifting digital holography

Yonghui Wang, Qinyu Zhao, Wenjun Xu, Fei Li, Jun Yan, Shuaiqi Liu, and Yonggang Su
Appl. Opt. 62(29) 7577-7587 (2023)