Abstract

Online signature or dynamic signature is a biometric modality that uses, for recognition purpose, the behavioural that an individual exhibit when signing. There’s a lot of factor that can be dynamically captured in the online signature recognition as the indicator of individual’s identity or personality. This research aims to identify the two (2) important features of online signatures, pressure and speed and collaborate with the previous research in HoloCatT Matrix construction by [9]. The process involves data acquisition where the person will sign on the digital tablet and the signature is captured in an x and y values. Subsequently, an algorithm is formulated to capture the preasure and speed of the signature. Both factors have been divided into three (3) categories as reflected in the HoloCatT Matrix formulated in previous research. Five (5) signatures were captured for the functional testing and another six (6) signatures captured for the verification testing. The results from both testing show the accuracy of proposed algorithm and it has been verified by the handwriting expert by comparing the results between online and manual signature analysis.