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Journal ArticleDOI

Information fusion in biometrics

Arun Ross, +1 more
- 01 Sep 2003 - 
- Vol. 24, Iss: 13, pp 2115-2125
TLDR
This paper addresses the problem of information fusion in biometric verification systems by combining information at the matching score level by combining three biometric modalities (face, fingerprint and hand geometry).
About
This article is published in Pattern Recognition Letters.The article was published on 2003-09-01. It has received 1611 citations till now. The article focuses on the topics: Hand geometry & Biometrics.

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Citations
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Journal ArticleDOI

Score normalization in multimodal biometric systems

TL;DR: Study of the performance of different normalization techniques and fusion rules in the context of a multimodal biometric system based on the face, fingerprint and hand-geometry traits of a user found that the application of min-max, z-score, and tanh normalization schemes followed by a simple sum of scores fusion method results in better recognition performance compared to other methods.
Journal ArticleDOI

Multimodal human-computer interaction: A survey

TL;DR: This paper reviews the major approaches to multimodal human-computer interaction, giving an overview of the field from a computer vision perspective, and focuses on body, gesture, gaze, and affective interaction.
Journal ArticleDOI

Biohashing: two factor authentication featuring fingerprint data and tokenised random number

TL;DR: This paper proposed a novel two factor authenticator based on iterated inner products between tokenised pseudo-random number and the user specific fingerprint feature, which generated from the integrated wavelet and Fourier–Mellin transform, and hence produce a set of user specific compact code that coined as BioHashing.
Proceedings ArticleDOI

Wireless device identification with radiometric signatures

TL;DR: The design, implement, and evaluate a technique to identify the source network interface card (NIC) of an IEEE 802.11 frame through passive radio-frequency analysis, called PARADIS, which leverages minute imperfections of transmitter hardware that are acquired at manufacture and are present even in otherwise identical NICs.
Proceedings ArticleDOI

Multimodal biometrics: An overview

TL;DR: The various scenarios that are possible in multimodal biometric systems, the levels of fusion that are plausible and the integration strategies that can be adopted to consolidate information are discussed.
References
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Book

C4.5: Programs for Machine Learning

TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Journal ArticleDOI

Eigenfaces for recognition

TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Journal ArticleDOI

On combining classifiers

TL;DR: A common theoretical framework for combining classifiers which use distinct pattern representations is developed and it is shown that many existing schemes can be considered as special cases of compound classification where all the pattern representations are used jointly to make a decision.
Journal ArticleDOI

Neural network-based face detection

TL;DR: A neural network-based upright frontal face detection system that arbitrates between multiple networks to improve performance over a single network, and a straightforward procedure for aligning positive face examples for training.
Book

Robust statistics: the approach based on influence functions

TL;DR: This paper presents a meta-modelling framework for estimating the values of Covariance Matrices and Multivariate Location using one-Dimensional and Multidimensional Estimators.
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