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Extraction of personal features from stroke shape, writing pressure and pen inclination in ordinary characters

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3 Author(s)
Y. Yamazaki ; Dept. of Electron., Inf. & Commun. Eng., Waseda Univ., Tokyo, Japan ; Y. Mizutani ; N. Komatsu

We propose an extraction method of personal features based on online handwritten characters including writing pressure and pen inclination information. In the proposed method, any handwritten character (i.e., ordinary character) is described by a set of three dimensional curves, and personal features are described by a set of Fourier descriptors for the three dimensional curves. From some simulation results using handwritten data, it is clear that the proposed method effectively extracts personal features from ordinary characters

Published in:

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Date of Conference:

20-22 Sep 1999