Camera-based ID verification by signature tracking
A number of vision-based biometric techniques have been proposed in the past for personal identification. We present a novel one based on visual capturing of signatures. This paper describes a system based on correlation and recursive prediction methods that can track the tip of the pen in real time, with sufficient spatio-temporal resolution and accuracy to enable signature verification. Several examples and the performance of the system are shown.
KeywordsDynamic Time Warping Visual Tracker Equal Error Rate Warping Function False Acceptance Rate
Unable to display preview. Download preview PDF.
- 1.Dynamic approaches to handwritten signature verification. G. lorette and r. plamondon. Computer Processing of Handwriting, pages 21–47, 1990.Google Scholar
- 2.R.S. Bucy. Non-linear filtering theory. IEEE Trans. A.C. AC-10, 198, 1965.Google Scholar
- 3.J.L. Crowley, F. Bernard, and J. Coutaz. Finger tracking as an input device for augmented reality. Int. Work. on Face and Gecture Recog., pages 195–200, 1995.Google Scholar
- 7.A.H. Jazwinski. Stochastic Processes and Filtering Theory. Academic Press, 1970.Google Scholar
- 8.R.E. Kalman. A new approach to linear filtering and prediction problems. Trans. of the ASME-Journal of basic engineering., 35–45, 1960.Google Scholar
- 10.M. Munich and P. Perona. Visual input for pen-based computers. In Proc. 13th Int. Conf. Pattern Recognition, 1996.Google Scholar
- 11.M.E. Munich and P.Perona. Visual input for pen based computers. CNS Technical Report CNS-TR-95-01, California Institute of Technology, 1995.Google Scholar
- 17.L. Rabiner and B. Juang. Fundamentals of Speech Recognition. Prentice Hall, Inc., 1993.Google Scholar
- 19.Y. Sato and K. Kogure. On-line signature verification based on shape, motion and writng pressure. Proc. 6th Int. Conf. on Patt. Recognition, pages 823–826, 1982.Google Scholar