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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hao Chen Agazzi, O.E. Suen, C.Y. |
| Copyright Year | 1997 |
| Description | Author affiliation: Concordia Univ., Montreal, Que., Canada (Hao Chen) |
| Abstract | A new piecewise linear modulation model of handwriting is proposed. In this model, the velocity of handwriting trajectory is modeled as the impulse response of a time varying second order system. For mathematical tractability, the entire trajectory is segmented into several non-overlapping frames, while the natural frequency and the damping factor of the system are assumed to vary linearly with time in each frame and are continuous along the entire trajectory. In other words, handwriting is regarded as an oscillation modulated by a continuous and piecewise linear signal. The parameters of this model are estimated by Powell's optimization algorithm which does not require the computation of the first order derivative. The number and lengths of the frames are decided by a modified binary search algorithm along with the estimation of parameters. This model has achieved very high data compression rate as well as accurate reproduction of real handwriting. |
| Starting Page | 363 |
| Ending Page | 367 |
| File Size | 413834 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818678984 |
| DOI | 10.1109/ICDAR.1997.619872 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-08-18 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Piecewise linear techniques Optical character recognition software Data compression Handwriting recognition Image recognition Training data Time varying systems Frequency Damping Parameter estimation |
| Content Type | Text |
| Resource Type | Article |
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