DocumentCode :
3412533
Title :
Fully homomorphic faces
Author :
Troncoso-Pastoriza, J.R. ; Perez-Gonzalez, F.
Author_Institution :
Signal Theor. & Commun. Dept., Univ. of Vigo, Vigo, Spain
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2657
Lastpage :
2660
Abstract :
Face recognition is a prominent application of image processing. It is also a very sensitive application, and privacy concerns have been lately raised and tackled in several recent papers dealing with privacy-preserving face recognition systems. Nevertheless, the presented systems either use the knowledge of some information derived from the database templates in order to perform the recognition or require several interaction rounds between client and server. In this paper, we propose a private system that can cope with a simple verification algorithm executed in the server without interaction (using a quasi-fully homomorphic encryption and an efficient face features representation with Lloyd-Max quantized Gabor jets), in which both the templates and the queried face are encrypted; we show its performance in terms of time complexity and size of transferred encryptions, as well as in verification accuracy with respect to the non-private system. This opens the door to completely private and noninteractive outsourcing of face recognition.
Keywords :
Gabor filters; computational complexity; cryptography; data privacy; face recognition; image representation; quantisation (signal); Lloyd-Max quantized Gabor jets; database templates; face feature representation; image processing; interaction rounds; nonprivate system; privacy-preserving face recognition systems; private-noninteractive face recognition outsourcing; quasifully homomorphic encryption; queried face encryption; template encryption; time complexity; transferred encryption size; verification algorithm; Databases; Encryption; Face recognition; Lattices; Polynomials; Vectors; Lattice cryptography; face verification; homomorphic processing; privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467445
Filename :
6467445
Link To Document :
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