Title
Template Protection via Piecewise Hashing
Abstract
When biometric recognition is used for identification or verification it is important to assure the privacy of the data subject. This can be accomplished by using template protection mechanisms. These transform a feature vector that is derived from a data subject’s biometric characteristic into a protected template (pseudo identity) and thus guarantee that no additional information such as health-related information is stored in the biometric reference. Due to noise, two biometric samples of one data subject are not the same and differ in some feature values (intra-class variations). This paper proposes a new template protection method which deals with these intra-class differences by applying cryptographic hash functions in a step-wise manner to certain pieces of the biometric feature vector. This idea was inspired by Kornblum who proposed piecewise hashing for files. In this paper the method is applied to 3-dimensional facial data. The experimental results indicate that the biometric performance of the method is close to the biometric performance obtained without template protection.
Year
DOI
Venue
2009
10.1109/IIH-MSP.2009.234
IIH-MSP
Keywords
Field
DocType
protected template,new template protection method,biometric recognition,biometric characteristic,piecewise hashing,data subject,biometric sample,biometric feature vector,template protection,biometric performance,3-dimensional facial data,biometric reference,data privacy,face recognition,cryptographic hash functions,cryptographic hash function,3 dimensional,vectors,cryptography,bioinformatics,feature vector,biometrics,databases
Data mining,Facial recognition system,Feature vector,Signature recognition,Pattern recognition,Computer science,Cryptographic hash function,Hash function,Artificial intelligence,Biometrics,Information privacy,Piecewise
Conference
Citations 
PageRank 
References 
1
0.35
6
Authors
3
Name
Order
Citations
PageRank
Claudia Nickel122415.64
Xuebing Zhou215013.14
Christoph Busch393.86