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Please use this identifier to cite or link to this item: http://hdl.handle.net/10761/1096

Issue Date: 2-Mar-2012
Authors: Spadaccini, Andrea
Title: Innovative Traits, Algorithms and Application Scenarios for Mono-multimodal Biometric Recognition
Abstract: Identity verification is one of the most common and important processes in our daily lives. For centuries, humans have relied on the visual appearance of their peers - or other distinctive traits - to recognize them. Currently, most of the traditional authentication methods infer one s identity by either verifying the knowledge of a shared secret (i.e., password) or the possession of a given object (i.e., token); both methods are sub-optimal, since they do not directly verify the person s identity, but an alternate and less rich representation that could also very easily stolen or inadvertently shared. Biometrics offers a natural solution to this problem, by providing quantitative methods for recognizing one s identity by the analysis of either physiological or behavioural traits. In addition to the traditional biometric traits, such as fingerprint, iris or voice, there is a growing interest in novel biometric traits, that can be used in conjunction with the most established ones to compensate to their weaknesses. In the first part of this thesis, we will analyze the usage of heart sounds as a physiological trait for biometric recognition, discussing some novel ad-hoc algorithms developed to process them. Forensic analysts often have to determine whether a given speech sample was uttered by a suspect or not; in the second part of the thesis, we will investigate the usage of automatic text-independent speaker recognition systems in this context, exploring the limits of this approach and proposing new solutions. Finally, given the capillary diffusion that Internet access has gained in the last years, we will analyze the problem of biometric authentication for web application. Through the performance analysis of 3 biometric systems and their combination using 2 multi-biometric score level fusion strategies, we will find the optimal combination of those system; we will then present the architecture and implementation of an open-source web-based multi-biometric authentication system based on speech and face recognition, fused together using the optimal strategy identified in the preliminary analysis phase.
Appears in Collections:Area 09 - Ingegneria industriale e dell'informazione

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