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Thesis - Instituto de Telecomunicações

Thesis - Instituto de Telecomunicações

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2.4. MULTIMODAL BIOMETRICS 312.4 Multimodal BiometricsThe fusion of several biometrics sources to produce a classification, called multibiometrics,is a trend that is promoting performance increase in the area [27]. The modalities thatare being used in combination are typically the current hard-biometric traits [64, 30]. Thegradual increments in performance of current biometric techniques have been minor. Thereasons are mainly related to the quantity of information a biometric trait has [181, 47].Even if new, and more robust algorithms appear, they tend to require new and more expensivehardware to be able to perform only for a marginal performance gain. The currenttrend is to capture more information from the user in or<strong>de</strong>r to fuse the multimodal formatsacquired from the user, using the hard-biometric traits with new soft-biometrics traits [102].One of the first attempts on using more than one biometric trait for user authenticationwas performed by Brunel and Falavigna [30].Information fusion can be performed in several points in the information path of abiometric system [204]:1. Feature extraction, features from several sources are combined to provi<strong>de</strong> more informationto the classifier/matcher. Although it is consi<strong>de</strong>red the best strategy, it candamage the performance via the dimensionality increase of the feature vector (see thepaper on the “curse of dimensionality” [12, 115]).2. Matching Score, the score of each of the biometric systems is combined via an informationfusion rule such as the product or sum of all the scores [203].3. Decision, each system proposes a <strong>de</strong>cision and a majority vote is used to produce thefinal <strong>de</strong>cision.This multimodal approach is more robust to spoofing, given that the user has to beprepared to present several distinct traits in a singular or<strong>de</strong>r specified by the system. Thepreparation to present several examples of finger prints in an unimodal fingerprint systemis easier to break than a system that asks for several finger prints, the voice, the palm andagain a fingerprint.

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