Abstract
Writing force is an important biometric attribute for on-line writer verification. But it is often neglected or introduced deficiently for the limitation of the existing input device. In this paper, a text-independent on-line writer verification algorithm based on force feature is presented. A novel digital tablet is used to collect data, which can capture all three-dimensional writing forces in addition to pen position. Four force features are extracted from the writing force information of significant basic strokes, which are segmented and determined by the normal force, length and direction of the strokes. The Euclidean distance of feature vectors is measured to verify the input characters with the template. A preliminary experiment shows that the writing force is an effective feature for the writer verification.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Romann, F., Vielhuer, C., Steinmetz, R.: Biometric Applications based on Handwriting. In: Proc. Of the 2002 IEEE ICME 2002, vol. 2, pp. 573–576 (August 2002)
Yamazaki, Y., Nagao, T., Komatu, N.: Text-indicated Writer Verification Using Hidden Markov Models. In: Proc. Of the 7th ICDAR, vol. 1, pp. 329–332 (August 2003)
Kato, Y., Hamamoto, T., Hangai, S.: A Proposal of Writer Verification of Hand Written Objects. In: Proc. Of the 2002 IEEE ICME 2002, vol. 2, pp. 585–588 (August 2002)
Said, H.E.S., Tan, T.N., Baker, K.D.: Personal Identification Based on Handwriting. Pattern Recognition 33, 149–160 (2000)
Cha, S., Srihari, S.N.: Multiple Feature Integration for Writer Verification. In: The Proceedings of the 7th IWFHR 2000, pp. 333–342 (September 2000)
Bunke, H., Marti Dr., U.-V., Messerli, R.: Writer Identification Using Text Line Based Features. In: Proc. of the 6th ICDAR, pp. 101–105 (September 2001)
Rioja, F.R., Miyatake, M.N., Perez, M.H., Toscano, M.K.: Dynamics Features Extraction for Online Signature Verification. In: Proc. of the 14th CONIELECOMP 2004, pp. 156–161 (Febuary 2004)
Kikuchi, M., Akamatsu, N.: Development of Speedy and High Sensitive Pen System for Writing Pressure and Writer Identification. In: Proc. of the 6th ICDAR, pp. 1040–1044 (September 2001)
Shimizu, H., Kiyono, S., Motoki, T., Gao, W.: An Electrical Pen for Signature Verification Using a Two-dimensional Optical Angle Sensor. Sensors and Actuators A 111, 216–221 (2004)
Martens, R., Claesen, L.: On-line Signature Verification by Dynamic Time-Warping. In: Proc. of the 13th Int. Conf. on Pattern Recognition, vol. 3, pp. 38–42 (August 1996)
Fang, P., Wu, Z.C., Meng, M., Ge, Y.J., Yu, Y.: A Novel Tablet for On-Line Handwriting Signal Capture. In: Proc. of the 5th WCICA, pp. 3714–3717 (June 2004)
Liu, C.L., Kim, I.J., Kim, J.H.: Model-based Stroke Extraction and Matching for Handwritten Chinese Character Recognition. Pattern Recognition 34, 2339–2352 (2001)
Shafiei, M.M., Rabiee, H.R.: A New Online Signature Verification Algorithm Using Variable Length Segmentation and Hidden Markov Models. In: Proc. Of the 7th ICDAR, vol. 1, pp. 443–446 (August 2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Meng, M., Wu, Z., Fang, P., Ge, Y., Yu, Y. (2004). On-line Writer Verification Using Force Features of Basic Strokes. In: Li, S.Z., Lai, J., Tan, T., Feng, G., Wang, Y. (eds) Advances in Biometric Person Authentication. SINOBIOMETRICS 2004. Lecture Notes in Computer Science, vol 3338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30548-4_74
Download citation
DOI: https://doi.org/10.1007/978-3-540-30548-4_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24029-7
Online ISBN: 978-3-540-30548-4
eBook Packages: Computer ScienceComputer Science (R0)