2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-P5.5
Session:Biometrics III: Fingerprints, Iris, Palmprints
Time:Monday, September 17, 14:30 - 17:10
Presentation: Poster
Title: SINGLE-SEMANTIC MULTI-INSTANCE FUSION OF HANDWRITING BASED BIOMETRIC AUTHENTICATION SYSTEMS
Authors: Tobias Scheidat; Otto-von-Guericke University Magdeburg 
 Claus Vielhauer; Otto-von-Guericke University Magdeburg 
 Jana Dittmann; Otto-von-Guericke University Magdeburg 
Abstract: The fusion of biometric systems, algorithms and/or traits is a well known solution to improve authentication performance of biometric systems. In this article the fusion of two instances of the same semantic is suggested, where semantics are alternative handwritten contents such as numbers or sentences, in addition to commonly used signature. In order to fuse two instances of one semantic, a biometric authentication is carried out on both by Biometric Hash algorithm up to matching score computation. The fusion is done by combination of matching scores to a joint score as basis for authentication decision. Three individual fusion strategies are used to study to which degree the authentication performance can be improved or degraded. Therefore one pragmatic and two optimistically weighting approaches for biometric fusion are used. The best fusion result is even better than the corresponding best individual result by approximately 17%.



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