Abstract
In this paper, we discuss the relative importance of different signal types from the viewpoint of on-line signature verification. The signals that are evaluated are forces on the writing devices tip in 3 dimensions and angles of its shaft relative to the writing surface in 2 dimensions. These signals are captured by the SmartPenTM, which is the heart of a completely operational biometric identity verification system. The results of the experiments that have been carried out are not just interesting for this peculiar identity verification system, since they allow to evaluate the implications of potential simplifications of the SmartPenTM-concept, but they are undoubtedly useful to future developers of on-line signature verification systems.
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6. Bibliography
B. Miller, “Vital Signs of Identity”, IEEE spectrum, pp. 22–30, feb. 1994.
R. Plamondon, G. Lorette, “Automatic Signature Verification and Writer Identification-State of the Art”, Pattern Recogn., vol. 22, no. 2, pp. 107–131, 1989.
F. Leclerc, R. Plamondon, “Automatic Signature Verification: The State of the Art-1989-1993”, Int. J. Pattern Rec. Artif. Intell., vol. 8, pp. 643–660, 1994.
R. Plamondon, “The Design of an On-Line Signature Verification System: From Theory to Practice”, Int. J. Pattern Rec. Artif. Intell., vol. 8, pp. 795–811, 1994.
J. Bromley, J. W. Bentz, L. Bottou, I. Guyon, Y. Lecun, C. Moore, E. Sackinger, R. Shah, “Signature Verification using a “Siamese” Time Delay Neural Network”, Int. J. Pattern Rec. Artif. Intell., vol. 7, no. 4, pp. 669–688, 1993.
B. Wirtz, “Stroke-Based Time Warping for Signature Verification”, Proc. of the 3rd Int. Conf. on Document Analysis and Recognition, pp. 179–182, 1995.
uJ. S. Lew, “An Improved Regional Correlation Algorithm which Permits Small Speed Changes Between Handwriting Segments”, IBM J. R.&D., vol. 27, no. 2, pp. 181–185,1983.
R. Martens, L. Claesen, “On-Line Signature Verification by Dynamic TimeWarping”, Proc. 13th.. Int. Conf. on Pattern Rec., vol. 3, pp. 38–42, 1996.
L. Claesen, D. Beullens, R. Martens, R. Mertens, S. De Schrijver, W. de Jong, “SmartPen: An Application of Integrated Microsystem and Embedded Hardware / Software CoDesign”, ED&TC'96 User Forum, pp. 201–205, 1996.
R. Martens, L. Claesen, “Dynamic Programming Optimisation for On-line Signature Verification”, Proc. of ICDAR'97, to be published.
R. Martens, L. Claesen, “On-Line Signature Verification: Discrimination Emphasised”, Proc. of ICDAR'97, to be published.
H. Sakoe, S. Chiba, “Dynamic Programming Algorithm for Spoken Word Recognition”, IEEE Trans. on Acoustics, Speech and Signal Processing, vol. 26, no. 1, pp. 43–49, 1978.
Y. Sato, K. Kogure, “On-Line Signature Verification Based on Shape, Motion, and Writing Pressure”, Proc. 6th Int. Conf. on Pattern Rec., pp. 823–826, 1982.
R. Martens, L. Claesen, “Optimised Feature Extraction for On-Line Signature Verification”, Proc. 9th Kolloquium “Signaltheorie” Bild-and Sprachsignale, 1997, pp. 305–308.
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© 1997 Springer-Verlag Berlin Heidelberg
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Martens, R., Claesen, L. (1997). An evaluation of different handwriting observation techniques from a signature verification point of view. In: Murshed, N.A., Bortolozzi, F. (eds) Advances in Document Image Analysis. BSDIA 1997. Lecture Notes in Computer Science, vol 1339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63791-5_21
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DOI: https://doi.org/10.1007/3-540-63791-5_21
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