Franziska Wolf

Analyzing handwriting biometrics in metadata context

In this article, methods for user recognition by online handwriting are experimentally analyzed using a combination of demographic data of users in relation to their handwriting habits. Online handwriting as a biometric method is characterized by having high variations of characteristics that influences the reliance and security of this method. These variations have not been researched in detail so far. Especially in cross-cultural application it is urgent to reveal the impact of personal background to security aspects in biometrics. Metadata represent the background of writers, by introducing cultural, biological and conditional (changing) aspects like fist language, country of origin, gender, handedness, experiences the influence handwriting and language skills. The goal is the revelation of intercultural impacts on handwriting in order to achieve higher security in biometrical systems. In our experiments, in order to achieve a relatively high coverage, 48 different handwriting tasks have been accomplished by 47 users from three countries (Germany, India and Italy) have been investigated with respect to the relations of metadata and biometric recognition performance. For this purpose, hypotheses have been formulated and have been evaluated using the measurement of well-known recognition error rates from biometrics. The evaluation addressed both: system reliance and security threads by skilled forgeries. For the later purpose, a novel forgery type is introduced, which applies the personal metadata to security aspects and includes new methods of security tests. Finally in our paper, we formulate recommendations for specific user groups and handwriting samples.

Study of applicability of virtual users in evaluating multimodal biometrics

A new approach of enlarging fused biometric databases is presented. Fusion strategies based upon matching score are applied on active biometrics verification scenarios. Consistent biometric data of two traits are used in test scenarios of handwriting and speaker verification. The fusion strategies are applied on multimodal biometrics of two different user types. The real users represent two biometric traits captured from one person. The virtual users are considered as the combination of two traits captured from two discrete users. These virtual users are implemented for database enlargement. In order to investigate the impact of these virtual users, test scenarios using three different semantics of handwriting and speech are accomplished. The results of fused handwriting and speech of exclusively real users and additional virtual users are compared and discussed.

A Cross-cultural Evaluation Framework for Behavioral Biometric User Authentication

Today biometric techniques are based either on passive (e.g. IrisScan, Face) or active methods (e.g. voice and handwriting). In our work we focus on evaluation of the latter. These methods, also described as behavioral Biometric, are characterized by a trait that is learnt and acquired over time. Several approaches for user authentication have been published, but today they have not yet been evaluated under cultural aspects such as language, script and personal background of users. Especially for handwriting such cultural aspects can lead to a significant and essential outcome, as different spoken and written languages are being used and also the script used for handwriting is different in nature.

Personalised Passenger Notification in the Case of Incidents

Due to incidents or delays in public transportation, passengers are usually prevented to reach the destination of their planned journeys on time. In particular, unplanned incidents with a major extent, e.g. accidents and breakdowns, can lead to major delays. Although such events rarely occur, the implications for the passengers may be serious. The paper presents an information service that individually informs the passengers if they will not timely reach the destinations of their planned journeys due to an incident or delay. In addition, the service tries to individually re-plan the journey of each affected passenger, so that he reaches his destination on time.

Communication and Co-Operation for Traffic Systems

Abstract In this paper a new traffic management approach towards co-operative intersection management systems based on wireless exchange of traffic flow information and analysis shall be proposed. This proposal uses in-vehicle equipment combined with an innovative traffic control system. This main communication concept is placed into a modular unit in order to make the Floating Car Data of the vehicles directly available to the traffic management units by using the automotive communication technology IEEE 802.11p. This enables the availability of current information for the local and global traffic management and furthermore traffic light information for the individual traffic. Together the usage of this data offers advanced and cooperative applications for traffic management scenarios.