loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mohammad Rafiqul Alam ; Mohammed Bennamoun ; Roberto Togneri and Ferdous Sohel

Affiliation: The University of Western Australia, Australia

Keyword(s): Rank-Level Fusion, Audio-Visual Person Identification.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Multiclassifier Fusion ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications ; Theory and Methods

Abstract: A multibiometric identification system establishes the identity of a person based on the biometric data presented to its sub-systems. Each sub-system compares the features extracted from the input against the templates of all identities stored in its gallery. In rank-level fusion, ranked lists from different sub-systems are combined to reach the final decision about an identity. However, the state-of-art rank-level fusion methods consider that all sub-systems perform equally well in any conditions. In practice, the probe data may be affected by different degradations (e.g., illumination and pose variation on the face image, environmental noise etc.) and thus affect the overall recognition accuracy. In this paper, robust confidence-based rank-level fusion methods are proposed by using confidence measures for all participating sub-systems. Experimental results show that the confidence-based approach of rank-level fusion achieves higher recognition rates than the state-of-art.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.15.219.217

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Rafiqul Alam, M.; Bennamoun, M.; Togneri, R. and Sohel, F. (2014). Confidence-based Rank-level Fusion for Audio-visual Person Identification System. In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-018-5; ISSN 2184-4313, SciTePress, pages 608-615. DOI: 10.5220/0004819806080615

@conference{icpram14,
author={Mohammad {Rafiqul Alam}. and Mohammed Bennamoun. and Roberto Togneri. and Ferdous Sohel.},
title={Confidence-based Rank-level Fusion for Audio-visual Person Identification System},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2014},
pages={608-615},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004819806080615},
isbn={978-989-758-018-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Confidence-based Rank-level Fusion for Audio-visual Person Identification System
SN - 978-989-758-018-5
IS - 2184-4313
AU - Rafiqul Alam, M.
AU - Bennamoun, M.
AU - Togneri, R.
AU - Sohel, F.
PY - 2014
SP - 608
EP - 615
DO - 10.5220/0004819806080615
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic