Header menu link for other important links
Signature verification using static and dynamic features
, , P. Mitra, A. Noore
Published in Springer Verlag
Volume: 3316
Pages: 350 - 355
A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of a signature image whereas the digital tablet captures in real-time the pressure values, breakpoints, and the time taken to create a signature. ID - log Gabor wavelet and Euler numbers are used to analyze the textural and topological features of the signature respectively. A multi-classifier decision algorithm combines the results obtained from three feature sets to attain an accuracy of 98.18%. © Springer-Verlag Berlin Heidelberg 2004.