JOURNAL ARTICLE

Hybrid fusion for biometrics: Combining score-level and decision-level fusion

Abstract

A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics.

Keywords:
Fusion Computer science Biometrics Matching (statistics) Sensor fusion Artificial intelligence Pattern recognition (psychology) Data mining Machine learning Mathematics Statistics

Metrics

19
Cited By
2.01
FWCI (Field Weighted Citation Impact)
14
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Gait Recognition and Analysis
Physical Sciences →  Engineering →  Biomedical Engineering

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