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Decision fusion in a multimodal biometric system.

Lau, Chun Wai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 119-123). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Overview --- p.1 / Chapter 1.2 --- Multimodal Biometric Systems --- p.3 / Chapter 1.3 --- Objectives --- p.7 / Chapter 1.4 --- Thesis Outline --- p.7 / Chapter 2 --- Background --- p.9 / Chapter 2.1 --- Decision Fusions in Multimodal Biometric Systems --- p.10 / Chapter 2.2 --- Fuzzy Logic --- p.15 / Chapter 2.2.1 --- Fuzzy Sets and Their Operations --- p.15 / Chapter 2.2.2 --- Fuzzy Rules --- p.17 / Chapter 2.2.3 --- Defuzzification --- p.18 / Chapter 2.2.4 --- Applications of Fuzzy Logic --- p.19 / Chapter 2.3 --- Demspter-Shafer Theory of Evidence --- p.20 / Chapter 2.3.1 --- Belief and Plausibility --- p.20 / Chapter 2.3.2 --- Dempster's Rule of Combination --- p.21 / Chapter 2.3.3 --- Applications of Dempster-Shafer Theory of Evidence --- p.22 / Chapter 2.4 --- Chapter Summary --- p.23 / Chapter 3 --- Biometric Modalities --- p.24 / Chapter 3.1 --- Speaker Verification --- p.24 / Chapter 3.1.1 --- Data Collection --- p.25 / Chapter 3.1.2 --- Experiment and Results --- p.26 / Chapter 3.2 --- Face Identification --- p.27 / Chapter 3.2.1 --- Data Collection --- p.28 / Chapter 3.2.2 --- Experiment and Results --- p.29 / Chapter 3.3 --- Fingerprint Verification --- p.35 / Chapter 3.3.1 --- Data Collection --- p.36 / Chapter 3.3.2 --- Experiment and Results --- p.37 / Chapter 3.4 --- Chapter Summary --- p.38 / Chapter 4 --- Baseline Fusions --- p.39 / Chapter 4.1 --- Majority Voting --- p.40 / Chapter 4.2 --- Fusion by Weighted Average Scores --- p.45 / Chapter 4.3 --- Comparison of Fusion by Majority Voting and Fusion by Weighted Average Scores --- p.51 / Chapter 4.4 --- Chapter Summary --- p.53 / Chapter 5 --- Fuzzy Logic Decision Fusion --- p.54 / Chapter 5.1 --- Introduction --- p.55 / Chapter 5.2 --- Fuzzy Inference System --- p.56 / Chapter 5.2.1 --- Input Fuzzy Variables and Fuzzy Sets for Face Biometric --- p.56 / Chapter 5.2.2 --- Input Fuzzy Variables and Fuzzy Sets for Fingerprint Biometric --- p.59 / Chapter 5.2.3 --- Output Fuzzy Variables and Fuzzy Sets --- p.62 / Chapter 5.2.4 --- Fuzzy Rules for Face Biometric --- p.63 / Chapter 5.2.5 --- Fuzzy Rules for Fingerprint Biometric --- p.64 / Chapter 5.3 --- Experiments with Fuzzy Logic Fusion --- p.66 / Chapter 5.4 --- Significance Testing --- p.71 / Chapter 5.5 --- Comparison of Fuzzy Logic Fusion and Weighted Average Scores --- p.74 / Chapter 5.6 --- Testing of Fuzzy Rule Properties --- p.76 / Chapter 5.6.1 --- Experiment 1 --- p.77 / Chapter 5.6.2 --- Experiment 2 --- p.80 / Chapter 5.6.3 --- Experiment 3 --- p.83 / Chapter 5.6.4 --- Comparison of Results --- p.86 / Chapter 5.7 --- Chapter Summary --- p.86 / Chapter 6 --- Decision Fusion Based on Dempster-Shafer Theory of Evi- dence --- p.88 / Chapter 6.1 --- Introduction --- p.89 / Chapter 6.2 --- Framework of Fusion Based on Dempster-Shafer Theory of Evidence --- p.90 / Chapter 6.2.1 --- Evidences for Biometric Systems --- p.91 / Chapter 6.2.2 --- Intra-Modality Combination --- p.95 / Chapter 6.2.3 --- Inter-Modality Combination --- p.97 / Chapter 6.3 --- Experiments with Fusion Based on Dempster-Shafer Theory of Evidence --- p.99 / Chapter 6.4 --- Significance Testing --- p.103 / Chapter 6.5 --- Comparison of Fusion Based on Dempster-Shafer Theory of Evidence and Weighted Average Scores --- p.106 / Chapter 6.6 --- Comparison of Fusion Based on Dempster-Shafer Theory of Evidence and Fuzzy Logic Fusion --- p.108 / Chapter 6.7 --- Chapter Summary --- p.110 / Chapter 7 --- Conclusions --- p.112 / Chapter 7.1 --- Summary --- p.112 / Chapter 7.2 --- Contributions --- p.115 / Chapter 7.3 --- Future Work --- p.117 / Bibliography --- p.119 / Chapter A --- Fuzzy Rules --- p.124

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324998
Date January 2004
ContributorsLau, Chun Wai, Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xii, 126 leaves : ill. (some col.) ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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