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Abstract
An analysis of a large set of biometric data obtained during the enrolment and the verification phase in an experimental biometric system installed in bank branches is presented. Subjective opinions of bank clients and of bank tellers were also surveyed concerning the studied biometric methods in order to discover and to explore relations emerging from the obtained multimodal dataset. First, data acquisition and identity verification methods are described in the paper. Then, relationships between ratios of successful and failed verifications between pairs, triplets, and quartets of biometric modalities are studied. An analysis of the sentiment of clients and of banking tellers related to each identity verification attempt was performed based on linguistic methods. The data mining process is described, based on the rough sets methodology, aimed at deriving rules pertaining to consecutive identity verification attempts.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IET Biometrics
no. 8,
pages 92 - 100,
ISSN: 2047-4938 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Hoffmann P., Czyżewski A., Szczuko P., Kurowski A., Lech M., Szczodrak M.: Analysis of results of large-scale multimodal biometric identity verification experiment// IET Biometrics. -Vol. 8, iss. 1 (2018), s.92-100
- DOI:
- Digital Object Identifier (open in new tab) 10.1049/iet-bmt.2018.5030
- Verified by:
- Gdańsk University of Technology
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