Paper Title:
Score-Based Fusion in Multi-Unit Biometric Recognition System
  Abstract

The performance of biometric systems can be improved by combining multiple units through score level fusion. In this paper, different fusion rules based on match scores are comparatively studied for multi-unit fingerprint recognition. A novel fusion model for multi-unit system is presented first. Based on this model, we analyze the five common score fusion rules: sum, max, min, median and product. Further, we propose a new method: square. Note that the performance of these strategies can complement each other, we introduce the mixed rule: square-sum. We prove that square-sum rule outperforms square and sum rules. The experimental results show good performance of the proposed methods.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
1010-1013
DOI
10.4028/www.scientific.net/AMM.48-49.1010
Citation
Y. Li, J. P. Yin, E. Zhu, "Score-Based Fusion in Multi-Unit Biometric Recognition System", Applied Mechanics and Materials, Vols. 48-49, pp. 1010-1013, 2011
Online since
February 2011
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