G. Boccignone, A. Chianese, L. Cordella, and A. Marcelli, Recovering dynamic information from static handwriting, Pattern Recognition, vol.26, issue.3, pp.409-418, 2003.
DOI : 10.1016/0031-3203(93)90168-V

K. Franke, The influence of Physical and Biomechanical Processes on the Ink Trace, 2005.

I. Guyon, L. Schomaker, R. Plamondon, M. Liberman, and S. Janet, UNIPEN project of on-line data exchange and recognizer benchmarks, Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), pp.29-33, 1994.
DOI : 10.1109/ICPR.1994.576870

L. Huang, G. Wan, and C. Liu, An improved parallel thinning algorithm, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.780-783, 2003.
DOI : 10.1109/ICDAR.2003.1227768

R. Huber and A. Headrick, Handwriting identification: facts and fundamentals, 1999.
DOI : 10.1201/9781420048773

S. Jäger, Recovering dynamic information from static, handwritten word images, 1998.

Y. Kato and M. Yasuhara, Recovery of drawing order from single-stroke handwriting images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.9, pp.938-949, 2000.
DOI : 10.1109/34.877517

B. Kégl and A. Krzy?-zak, Piecewise linear skeletonization using principal curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.1, pp.59-74, 2002.
DOI : 10.1109/34.982884

J. Kruskal and M. Liberman, The symmetric time-warping problem: from continuous to discrete Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparisons, 1983.

P. Lallican, C. Viard-gaudin, and S. Knerr, From off-line to on-line handwriting recognition, Proc. 7th Int. Workshop on Frontiers in Handwr. Recogn, pp.303-312, 2000.

R. Morris, Forensic handwriting identification : fundamentals , concepts and principals, 2000.

R. Niels, Dynamic Time Warping: An intuitive way of handwriting recognition? Master's thesis, 2004.

R. Niels and L. Vuurpijl, Dynamic time warping applied to Tamil character recognition, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.730-734, 2005.
DOI : 10.1109/ICDAR.2005.96
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.5063

R. Niels and L. Vuurpijl, Using Dynamic Time Warping for intuitive handwriting recognition, Advances in Graphonomics , Proceedings of the 12th Conference of the International Graphonomics Society (IGS2005), pp.217-221, 2005.

R. Niels, L. Vuurpijl, and L. Schomaker, AUTOMATIC ALLOGRAPH MATCHING IN FORENSIC WRITER IDENTIFICATION, International Journal of Pattern Recognition and Artificial Intelligence, vol.21, issue.01
DOI : 10.1142/S0218001407005302

R. Niels, L. Vuurpijl, and L. Schomaker, Introducing Trigraph -trimodal writer identification, Proc. European Network of Forensic Handwr. Experts, 2005.

R. Plamondon and C. Privitera, The segmentation of cursive handwriting: an approach based on off-line recovery of the motor-temporal information, IEEE Transactions on Image Processing, vol.8, issue.1, pp.90-91, 1999.
DOI : 10.1109/83.736691

L. Schomaker, Using stroke- or character-based self-organizing maps in the recognition of on-line, connected cursive script, Pattern Recognition, vol.26, issue.3, pp.443-450, 1993.
DOI : 10.1016/0031-3203(93)90171-R

L. Schomaker and L. Vuurpijl, Forensic writer identification: A benchmark data set and a comparison of two systems, Institute for Cognition and Information (NICI), 2000.

V. Vuori, Adaptive Methods for On-Line Recognition of Isolated Handwritten Characters, Finnish Academies of Technology, 2002.

L. Vuurpijl and L. Schomaker, Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting, Proceedings of the Fourth International Conference on Document Analysis and Recognition, pp.387-393, 1997.
DOI : 10.1109/ICDAR.1997.619876