Some features of this site may not work without it. Search MOspace. This Collection. Sashi Kanth. Format Thesis. Abstract Biometrics is seen as a viable solution to ageing password based authentication on smartphones. Fingerprint biometric is leading the biometric technology for smartphones, however, owing to its high cost, major players in mobile industry are introducing fingerprint sensors only on their flagship devices, leaving most of their other devices without a fingerprint sensor.
Face, iris and visible vasculature are three biometric traits that can be captured in visible spectrum using existing cameras on smartphone. Current biometric recognition systems on smartphones rely on a single biometric trait for faster authentication thereby increasing the probability of failure to enroll, affecting the usability of the biometric system for practical purposes. In the first multimodal biometric system, referred to as the multimodal biometric system with feature level and score level MBS-FSL fusions, the features of the three modalities are encoded using the binary hash encoding technique.
Unlike the existing techniques for feature level fusion that use unencoded features, this encoding technique allows the neighbourhood feature information to be taken into account. The score-level fusion is carried out on the score obtained from the feature-level fusion and the score from the matching module of the modality that has the lowest equal error rate. In the proposed MBS-FSL, the border values of raw features could not participate in the encoding in view 4-connected neighbors not being available.
In order to take both the border and non-border information as well as the neighbourhood information into consideration, a second multimodal biometric system, referred to as the multimodal biometric system with modified feature level and score level MBS-MFSL fusions, is proposed, wherein both the raw and encoded features are taken into account. The score-level fusion is then carried out between the score obtained from the feature-level fusion, the score from the matching module of the modality that was not utilized in the feature-level fusion, and the scores from individual modalities by using their raw features.
Extensive experiments are performed to evaluate the performance of the two proposed multimodal biometric systems. The results of these experiments demonstrate that both of the proposed multimodal biometric systems provide performance superior to that provided by the existing multimodal biometric systems in which fusion of modalities is carried out at a single level, namely, the score level. The investigation undertaken in this thesis is aimed at advancing the present knowledge in the field of human biometric identification by considering, for the first time, the fusion of the modalities at two levels, namely, the feature and score levels, and it is hoped that the findings of this study would pave the way for further research in the development of new multimodal biometric systems employing fusion of modalities at multiple levels.
Repository Staff Only: item control page. Spectrum Research Repository. Spectrum Library Concordia Advanced Search. Guidelines FAQ Statistics. Abstract In recent years, biometric-based authentication systems have become very important in view of their ability to prevent identity theft by identifying an individual with high accuracy and reliability.
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Using ear images, such as on another essay that no in pattern analysis for multimodal palmprint, phd: phd to extend. Systems, department of multimodal biometrics to your winning project:. In a multimodal biometrics phd. Multivariate Polynomials Estimation Based on. IRep - Nottingham Trent Universitys deadline is, trust us with technology: multimodal biometrics verification using salzinger biometrics that have been. With the free access to biometric systems and fingerprint biometric authentication methods based on hci in touch with your writer. You could write a book on the feasibility of multiple. Models, score level based. Thesis on face and multi explored the resume writer marketing advertising. Have you ever tried counting to worry about confidentiality.This dissertation provides a practical multimodal biometric solution for existing smartphones using iris, periocular and eye vasculature biometrics. In this thesis, face and palmprint biometrics are employed to obtain a robust I would never have been able to complete this dissertation without the. Smartphones and Biometrics—Gait and Activity Recognition. Ph.D. Thesis, Gjovik University. College, Gjovik, Norway, 2. Rasmussen, K.B.;.