Title :
Consent biometrics
Author :
Yang, Kai ; Du, Eliza Yingzi
Author_Institution :
Dept. of Electr. & Comput. Eng, Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
Biometrics identifies/verifies a person using his/her physiological or behavioral characteristics. It is becoming an important ally for law enforcement and homeland security. However, there are some safety and privacy concerns: biometrics guarded system can be accessed when users are under threat, reluctant or even unconscious states. For future consumer biometric applications (such as biometric ATM machines or biometric credit cards), the biggest concern is user safety: criminals may intimidate or even hurt users to get into their accounts. In this paper, we propose a new concept, Consent Biometrics, which incorporates a consent signature into biometric systems. We introduce two schemes that can realize the Consent Biometrics idea and an example design for consent iris recognition. The proposed consent biometrics can not only detect the willingness of users, but also improve recognition accuracy.
Keywords :
data privacy; digital signatures; iris recognition; national security; behavioral characteristics; biometric guarded system; consent biometrics; consent iris recognition accuracy; consent signature; consumer biometric applications; homeland security; law enforcement; physiological characteristics; willingness detection; Biomedical imaging; Databases; Iris recognition; combinational consent biometrics; consent biometrics; incorporating consent biometrics; willingness detection;
Conference_Titel :
Computational Intelligence in Biometrics and Identity Management (CIBIM), 2011 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9899-4
DOI :
10.1109/CIBIM.2011.5949207