A discussion on fusion/confusion at score level in unimodal biometric systems
Fusing biometric information at different levels is one of the widely-preferred techniques for better accuracy. Researchers attempt to decrease error rates by fusing either multiple biometrics or apply sensor-, feature-, score- or decision-level fusion in unimodal biometric systems. Although it incr...
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Published in: | 2017 25th Signal Processing and Communications Applications Conference (SIU) pp. 1 - 4 |
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Main Authors: | , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-05-2017
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Subjects: | |
Online Access: | Get full text |
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Summary: | Fusing biometric information at different levels is one of the widely-preferred techniques for better accuracy. Researchers attempt to decrease error rates by fusing either multiple biometrics or apply sensor-, feature-, score- or decision-level fusion in unimodal biometric systems. Although it increases the complexity of systems, fusion works usually well. However, in some cases score-level fusion may degrade the performance instead of improving the system. In this study a discussion on fusion whether it causes confusion or not is raised by presenting a unimodal face fusion approach. Results show that if fusion is not designed properly, it may cause confusion. |
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DOI: | 10.1109/SIU.2017.7960425 |