Abstract
A multi-biometric verification system lowers the verification errors by fusing information from multiple biometric sources. Information can be fused in parallel or serial modes. While parallel fusion gives a higher accuracy, it may suffer from a serious problem of taking a longer verification time. Serial fusion can alleviate this problem by allowing the users to submit a subset of the available biometric characteristics. Unfortunately, several studies show that serial fusion may not reach the level of accuracy of parallel fusion. In this paper, we propose a fusion framework which combines the advantages of both parallel and serial fusion. The core of the framework is a new concept of “confident reject region” which incurs nearly zero verification error. We evaluate our framework by performing experiments on two multi-biometric verification systems built with NIST biometric scores set release 1. The experimental results show that our framework achieves a lower equal error rate and takes a shorter verification time than standard parallel fusion.
Original language | English (US) |
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Pages (from-to) | 1569-1582 |
Number of pages | 14 |
Journal | Pattern Analysis and Applications |
Volume | 24 |
Issue number | 4 |
DOIs | |
State | Published - Nov 2021 |
Keywords
- Multi-biometric verification
- Parallel fusion
- Serial fusion
- User convenience
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Artificial Intelligence