Multi-bits biometric string generation based on the likelyhood ratio


Share/Save/Bookmark

Chen, C. and Veldhuis, R.N.J. and Kevenaar, T.A.M. and Akkermans, A.H.M. (2007) Multi-bits biometric string generation based on the likelyhood ratio. In: First IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2007, 27-29 September 2007, Washington, DC, USA.

[img]
Preview
PDF
145Kb
Abstract:Preserving the privacy of biometric information stored in biometric systems is becoming a key issue. An important element in privacy protecting biometric systems is the quantizer which transforms a normal biometric template into a binary string. In this paper, we present a user-specific quantization method based on a likelihood ratio approach (LQ). The bits generated from every feature are concatenated to form a fixed length binary string that can be hashed to protect its privacy. Experiments are carried out on both fingerprint data (FVC2000) and face data (FRGC). Results show that our proposed quantization method achieves a reasonably good performance in terms of FAR/FRR (when FAR is 10−4, the corresponding FRR are 16.7% and 5.77% for FVC2000 and FRGC, respectively).
Item Type:Conference or Workshop Item
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/61999
Official URL:http://dx.doi.org/10.1109/BTAS.2007.4401912
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page

Metis ID: 245755