Abstract
This paper describes the design, acquisition process and baseline evaluation of the new e-BioSign database, which includes dynamic signature and handwriting information. Data is acquired from 5 different COTS devices: three Wacom devices (STU-500, STU-530 and DTU-1031) specifically designed to capture dynamic signatures and handwriting, and two general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV 7). For the two Samsung tablets, data is collected using both pen stylus and also the finger in order to study the performance of signature verification in a mobile scenario. Data was collected in two sessions for 65 subjects, and includes dynamic information of the signature, the full name and alpha numeric sequences. Skilled forgeries were also performed for signatures and full names. We also report a benchmark evaluation based on e-BioSign for person verification under three different real scenarios: 1) intra-device, 2) inter-device, and 3) mixed writing-tool. We have experimented the proposed benchmark using the main existing approaches for signature verification: feature- and time functions-based. As a result, new insights into the problem of signature biometrics in sensor-interoperable scenarios have been obtained, namely: the importance of specific methods for dealing with device interoperability, and the necessity of a deeper analysis on signatures acquired using the finger as the writing tool. This e-BioSign public database allows the research community to: 1) further analyse and develop signature verification systems in realistic scenarios, and 2) investigate towards a better understanding of the nature of the human handwriting when captured using electronic COTS devices in realistic conditions.
Highlights
Ruben Tolosana is Applications based on biometric user authentication have experienced a high deployment in many relevant sectors such as security, e-government, healthcare, education, banking or insurance in the last years [1]
This paper has described the design, acquisition process and baseline evaluation of the new eBioSign on-line signature and handwriting database
This database is comprised of 5 COTS devices in total
Summary
Applications based on biometric user authentication have experienced a high deployment in many relevant sectors such as security, e-government, healthcare, education, banking or insurance in the last years [1]. This paper describes the design, collection and baseline evaluation of a new multi-scenario multi-device database called e-BioSign for dynamic signature and handwriting recognition (see Fig 1). This database is comprised of 65 users and data is collected in two sessions. The main contributions of the present work are to describe the design and collection of the e-BioSign database and report a benchmark evaluation for on-line signature verification considering three different scenarios: 1) intra-device, 2) inter-device, and 3) mixed writing-tool. Section Conclusions draws the final conclusions and points out some lines for future work
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
