On enhancing serial fusion based multi-biometric verification system
| Autor: | Khandaker Abir Rahman, Jundong Chen, Hossain |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Fusion
Biometrics Computer science Verification system 02 engineering and technology computer.software_genre 01 natural sciences Artificial Intelligence Order (business) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining 010306 general physics computer |
| Zdroj: | Applied Intelligence. 48:4824-4833 |
| ISSN: | 1573-7497 0924-669X |
| Popis: | Design of a serial fusion based multi-biometric verification system requires fixing several parameters, such as reject thresholds at each stage of the architecture and the order in which each individual verifier is placed within the multi-stage system. Selecting the order of verifier is a crucial parameter to fix because of its high impact on verification errors. A wrong choice of verifier order might lead to tremendous user inconvenience by denying a large number of genuine users and might cause severe security breach by accepting impostors frequently. Unfortunately, this design issue has been poorly investigated in multi-biometric literature. In this paper, we address this design issue by performing experiments using three different serial fusion based multi-biometric verification schemes. We did our experiments on publicly available NIST multi-modal dataset. We tested 24 orders—all possible orders originated from four individual verifiers—on a four-stage biometric verification system. Our experimental results show that the verifier order “best-to-worst”, where the best performing individual verifier is placed in the first stage, the next best performing individual verifier is placed in the second stage, and so on, is the top performing order. In addition, we have proposed a modification to the traditional architecture of serial fusion based multi-biometric verification systems. With rigorous experiments on the NIST multi-modal dataset and using three serial fusion based multi-biometric verification schemes, we demonstrated that our proposed architecture significantly improves the performance of serial fusion based multi-biometric verification systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink