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A Framework for Binding and Retrieving Class-Specific Information to and from Image Patterns Using Correlation Filters
Ist Teil von
IEEE transactions on pattern analysis and machine intelligence, 2013-09, Vol.35 (9), p.2064-2077
Ort / Verlag
Los Alamitos, CA: IEEE
Erscheinungsjahr
2013
Quelle
IEEE Electronic Library Online
Beschreibungen/Notizen
We describe a template-based framework to bind class-specific information to a set of image patterns and retrieve that information by matching the template to a query pattern of the same class. This is done by mapping the class-specific information to a set of spatial translations which are applied to the set of image patterns from which a template is designed, taking advantage of the properties of correlation filters. The bound information is retrieved during matching with an authentic query by estimating the spatial translations applied to the images that were used to design the template. In this paper, we focus on the problem of binding information to biometric signatures as an application of our framework. Our framework is flexible enough to allow spreading the information to be bound over multiple pattern classes which, in the context of biometric key-binding, enables multiclass and multimodal biometric key-binding. We demonstrate the effectiveness of the proposed scheme via extensive numerical results on multiple biometric databases.