Abstract
Original language | English |
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Pages (from-to) | 65-71 |
Journal | Pattern Recognition Letters |
Volume | 52 |
DOIs | |
Publication status | Published - 15 Jan 2015 |
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A confidence-based late fusion framework for audio-visual biometric identification. / Alam, Mohammad; Bennamoun, Mohammed; Togneri, Roberto; Sohel, Ferdous.
In: Pattern Recognition Letters, Vol. 52, 15.01.2015, p. 65-71.Research output: Contribution to journal › Article
TY - JOUR
T1 - A confidence-based late fusion framework for audio-visual biometric identification
AU - Alam, Mohammad
AU - Bennamoun, Mohammed
AU - Togneri, Roberto
AU - Sohel, Ferdous
PY - 2015/1/15
Y1 - 2015/1/15
N2 - © 2014 Elsevier Inc. All rights reserved. This paper presents a confidence-based late fusion framework and its application to audio-visual biometric identification. We assign each biometric matcher a confidence value calculated from the matching scores it produces. Then a transformation of the matching scores is performed using a novel confidence-ratio (C-ratio) i.e., the ratio of a matcher confidence obtained at the test phase to the corresponding matcher confidence obtained at the training phase. We also propose modifications to the highest rank and Borda count rank fusion rules to incorporate the matcher confidence. We demonstrate by experiments that our proposed confidence-based fusion framework is more robust compared to the state-of-the-art late (score- and rank-level) fusion approaches.
AB - © 2014 Elsevier Inc. All rights reserved. This paper presents a confidence-based late fusion framework and its application to audio-visual biometric identification. We assign each biometric matcher a confidence value calculated from the matching scores it produces. Then a transformation of the matching scores is performed using a novel confidence-ratio (C-ratio) i.e., the ratio of a matcher confidence obtained at the test phase to the corresponding matcher confidence obtained at the training phase. We also propose modifications to the highest rank and Borda count rank fusion rules to incorporate the matcher confidence. We demonstrate by experiments that our proposed confidence-based fusion framework is more robust compared to the state-of-the-art late (score- and rank-level) fusion approaches.
U2 - 10.1016/j.patrec.2014.10.006
DO - 10.1016/j.patrec.2014.10.006
M3 - Article
VL - 52
SP - 65
EP - 71
JO - Pattern Recogniton Letters
JF - Pattern Recogniton Letters
SN - 0167-8655
ER -