The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nowadays large-scale identity management systems enrol more than one billion data subjects. In order to limit transaction times, biometric indexing is a suitable method to reduce the search space in biometric identifications. Effective testing of such biometric identification systems and biometric indexing approaches requires large datasets of biometric data. Currently, the size of the publicly available...
The use of (online) signatures for the purpose of verifying a subject's identity is highly accepted within society and perceived as a noninvasive and nonthreatening biometric characteristic by most users. However, signature biometrics is typically characterized by a high intra-class variability, being influenced by several physical and emotional conditions, i.e. identity verification based on online...
As owners of mobile devices tend to deactivate their security settings, data on these devices is often insufficiently protected [1]. One reason for this is that most mobile devices do only offer the authentication via PIN or password, which requires explicit interaction and thus is time consuming and not very user friendly. To solve this problem, an alternative unobtrusive authentication method based...
Support Vector Machines (SVMs) and Hidden Markov Models (HMMs) have been in use for numerous classification tasks in pattern recognition. HMMs can be considered as a de-facto standard in speaker recognition. For accelerometer-based biometric gait recognition these methods have also shown good classification results, which are, however, not comparable as different data sets and features have been used...
Promising results have been obtained when using Hidden Markov Models for accelerometer-based biometric gait recognition. So far, the used testing data contains only walking straight on a flat floor, which is not a realistic scenario. This paper shows the results when using a more realistic data set containing walking around corners, upstairs and downstairs etc. It is analyzed to which extent the biometric...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.