Dual transformation bimodal biometrics based on feature level fusion
Dual transformation bimodal biometrics based on feature level fusion
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Stevenage: The Institution of Engineering & Technology
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Language
English
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Publisher
Stevenage: The Institution of Engineering & Technology
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Contents
The authentication of a person using bimodal biometric is robust and accurate compared to single biometric traits. In this paper we propose Dual Transformation Bimodal Biometrics Based on Feature Level Fusion (DBFLF). The Fingerprint and Face of each person is considered to identify a person. The fingerprint is preprocessed to obtain Region of Inte...
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Full title
Dual transformation bimodal biometrics based on feature level fusion
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TN_cdi_proquest_journals_1776182861
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1776182861
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ISBN
9781849199292,1849199299
DOI
10.1049/cp.2012.2511
