Paper Info
Title
Template Protection for Biometric Gait Data
Abstract
Biometric gait recognition is a well suited method for authentication on mobile devices as it is unobtrusive and concurrent. Hence, in contrast to PIN authen- tication it is no extra-effort for the user. The characteristic gait of a subject can be recorded using accelerometers which are nowadays already contained in many mobile devices. From this data biometric feature vectors can be extracted and stored as ref- erence data on the device. Only if the user is not recognized by his walk an active authentication via PIN is necessary. As the number of attacks on mobile devices increases it cannot be assumed that the data stored on the device is under constant control of the subject. Therefore, template protection techniques should be applied to secure biometric data. As biometric gait recognition is a new field of research no specific template protection methods have been developed so far. This paper describes a new method for securing biometric gait features based on histograms and using the earth mover's distance for comparison. The method is tested with gait data of 48 subjects recorded using a mobile phone and the results are compared to the ones obtained without template protection.
Year
Venue
Keywords
2010
BIOSIG
earth mover s distance,feature vector,mobile device
Field
DocType
Citations 
Reference data (financial markets),Computer vision,Histogram,Feature vector,Authentication,Pattern recognition,Accelerometer,Computer science,Mobile device,Artificial intelligence,Biometrics,Mobile phone
Conference
2
PageRank 
References 
Authors
0.37
10
3
Name
Order
Citations
PageRank
Claudia Nickel122415.64
Xuebing Zhou215013.14
Christoph Busch393.86