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Proposed
Schemes
1. The Class-Distribution-Preserving
Transform [2,3]
There are already cryptosystem schemes
proposed to enhance the security of biometric templates. Unfortunately, most
of these schemes require binary templates as input. Our proposed "CDP
transform" scheme transforms the original face templates into binary
strings. It selects a series of distinguishing points (B), computes the
distances between the original templates and the distinguishing points. The
distances are thresholded to get binary strings as the final binary
representation.
2. The
Hybrid Framework [1]
We
expand the CDP transform scheme to construct a three-step hybrid framework,
such that the constructed scheme can achieve the three requirements:
cancelability, discriminability and security by integrating three different
schemes together. Each one of these three schemes provides one property
respectively.
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Experimental Results with The Hybrid Framework: (three different databases: CMU PIE, FERET, FRGC)
Histogram:
The three figures show the histograms of the feature templates with three
different variations (pose, illumination, pose & illumination) with the
CMU PIE database. The subfigures (a), (b) and (c) show the genuine and
imposter distribution of the feature templates in each step. The distribution
of the binary templates has the smallest overlapping rate. Subfigure (d)
shows the performance of the feature templates in each step.
Performance:
Show the performance with the three databases.
Sources:
11/10/2009. PPT
for ACM-MM-ICME 2009.
Publications:
1. Y C
Feng, P C Yuen and A K Jain, "Three-Step Cancelable Framework: A Hybrid
Approach for Face Template Protection", Proceedings of SPIE Defense and Security Symposium, 2008.
2. Y
C Feng and P C Yuen, "Selection of Distinguish Points for Class
Distribution Preserving Transform for Biometric Template Protection," Proceedings of IEEE International
Conference on Biometrics (ICB), pp. 636-645, 2007.
3. Y
C Feng and P C Yuen, "Class-Distribution Preserving Transform for Face
Biometric Data Security," Proceedings
of IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP), pp. 141-144, 2007.
References:
Attacks on Biometric
Systems:
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Hill, “Risk of Masquerade Arising from the Storage of Biometrics,” B.S. Thesis, Australian National University, http://chris.fornax.net/biometrics.html.
A.
Alder, “Sample images can be independently restored from face recognition
templates,” Electrical and Computer
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A
Adler, “Images can be regenerated from quantized biometric match score data”,
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A Alder,
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Uludag and A. K. Jain, “Attacks on biometric systems: a case study in
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A Juels and M Sudan.
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Clancy, N Kiyavash, and D J Lin, “Secure smartcard-based fingerprint
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U
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Nagar, K Nandakumar, and A K Jain, “Securing Fingerprint Template: Fuzzy
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Cancelable Biometrics:
Y
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Ratha, J Connell, R Bolle, S Chikkerur, “Cancelable biometrics: A case study
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Binarization:
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Biohashing:
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