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Multimodal Biometric Systems - Study to Improve Accuracy and Performance

Author(s): K.Sasidhar | Vijaya L Kakulapati | Kolikipogu Ramakrishna | K.KailasaRao

Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252

Volume: 1;
Issue: 2;
Start page: 54;
Date: 2010;
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Keywords: Evaluation | Multimodal Biometrics | Authentication | Normalization | Fusion | face | Matching score | fingerprint.

Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Experimental studies show that Unimodal biometric systems had many disadvantages regarding performance and accuracy. Multimodal biometric systems perform better than unimodal biometric systems and are popular even more complex also. We examine the accuracy and performance of multimodal biometric authentication systems using state of the art Commercial Off- The-Shelf (COTS)products. Here we discuss fingerprint and face biometric systems, decision and fusion techniques used in these systems. We also discuss their advantage over unimodal biometric systems.
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