Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Large-Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
Fingerprint Liveness Detection Using Curvelet Energy and Co-Occurrence Signatures
CGIV '08 Proceedings of the 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation
Scale invariant gabor descriptor-based noncooperative iris recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
A comprehensive approach for skin recognition
International Journal of Biometrics
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Video-Based Noncooperative Iris Image Segmentation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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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 threaten, reluctant or even unconscious states. In this paper, we propose a new concept, consent biometrics, which incorporates a consent signature based on human behavioral information. The proposed consent biometrics allows users to register their consent signature. When performing identification, the consent biometrics system will measure whether users consent to access the biometric system as well as perform biometrics identity match. In this way, the consent biometrics system can enhance the security, protect users from unauthorized access to the biometric system and discourage criminals to harm/threaten biometric users to some extent. We also propose two schemes that can realize the consent biometrics idea, and present example designs using face recognition and iris recognition as examples of these two schemes, respectively. The experimental results show that consent biometrics cannot only detect the willingness of users, but also achieve high recognition accuracy.