Efficient Estimation of Pen Trajectory from Off-Line Handwritten Words

Authors:
Y. Al-Ohali;M. Cheriet;C. Y. Suen
Affiliations:
-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Year:
2002

Citing 0
Cited 3

Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Verification of dynamic curves extracted from static handwritten scripts

Pattern Recognition

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Abstract

This paper presents an easy and efficient method to estimate the pen trajectory based on minimizing the pen movement. Given start and end vertices, the complexity of the proposed algorithm is linear. In addition, the algorithm clearly identifies alternatives that do not affect the overall length of the pen trajectory, making enough room for other criteria, e.g. vision rules, to be applied.