NDLI: Analysis of results of large-scale multimodal biometric identity verification experiment

Content Provider	IET Digital Library
Author	Czyżewski, Andrzej Hoffmann, Piotr Szczuko, Piotr Kurowski, Adam Lech, Michał Szczodrak, Maciej
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 this study. 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.
Starting Page	92
Ending Page	100
Page Count	9
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5030
Journal	IET Biometrics
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-09-18
Access Restriction	Open
Rights License	Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Subject Keyword	Bank Branches Bank Clients Bank Tellers Banking Tellers Biometric Data Biometric Modalities Biomimetics Combinatorial Mathematics Computer Vision And Image Processing Technique Consecutive Identity Verification Attempts Data Acquisition Data Handling Technique Data Mining Data Mining Process Experimental Biometric System Identity Verification Attempt Identity Verification Method Knowledge Engineering Technique Large-scale Multimodal Biometric Identity Verification Experiment Linguistic Method Multimodal Dataset Rough Set Theory Rough Sets Methodology Studied Biometric Method Subjective Opinions Verification Phase Verifications
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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