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Darmstadt, Hochschule, Master Thesis, 2015 Biometric recognition can be used to secure the access to a system, by recognizing individuals seeking access, based on their behavioural and biological characteristics. In some scenarios, this level of security is not high enough, since it leaves room for attackers to gain access to the system after the initial recognition. Continuous authentication can be used to solve this problem by monitoring the current user during the work session. A genuine user with legitimate access should not be interrupted during the working session. Thus, biometric characteristics which require interaction with sensors are not suited for continuous authentication systems. As a consequence, research has been focused on behavioural biometric characteristics.

A trust model defines the behaviour of the continuous authentication system by describing how actions of the user affect the trust value. Decisions are based on this trust value. This work aims to research whether a trust model can be used to combine a biological biometric characteristic and a behavioural characteristic, namely face recognition as the biological component and keystroke dynamics as the behavioural component. Face recognition was chosen because it does neither require additional interaction with a sensor, nor does it interrupt the work session of the genuine user. In order to lessen the impact on the privacy of the user, it was decided to use periodically taken pictures from a webcam instead of a permanent video surveillance. This added the challenge of the information collected by the system being asynchronous.

Defendu Fairbairn Download. The goal of this work is to develop and evaluate the feasibility and performance of such a system. In order to evaluate this proposed system a database of biometric data suitable for the application scenario was collected and a prototype of the system developed. Face recognition was implemented by using a Local Binary Linear Discriminant Analysis (LBLDA), for keystroke dynamics, a statistical method was implemented. Results show clear improvements in one metric, while the results in the other three measured metrics fell in a range between those of the unfused components. However, results can be further improved by using a more sophisticated fusion approach and tuning the sub components.

Darmstadt, Hochschule, Master Thesis, 2014 The aim of this thesis is to develop a low-cost semi-professional automated 3D scanning and post-production system for digitizing clothing and apparel for in shop and online presentation purposes. Ultimately giving birth to a database of digitized 3d models of apparel to enable virtual-fitting rooms and real-time fitting feedback. In the first part different scanning methods are tested if they are suited for scanning apparel and if the quality is good enough for advertisement and presentation purposes. The cost of the system is also taken into account. The thesis then identifies the best and most cost effective approach and tries to develop and automate the method using state of the art consumer products. In the main section the thesis describes the functionality of the method and how it can be applied. Different algorithms and workflows are shown and combined to develop the automated system.