Abstract
In this paper, it is assumed that each writer has his or her own statistics of handwriting displacement, therefore a statistical displacement analysis for handwriting verification is proposed. Here, a regularization method with the coarse-to-fine strategy computes the displacement function in questionable handwritten letters, and then it is normalized to remove the noisy displacement that arises from the position drift and scaling variation. Finally, the normalized displacement function and the statistics of displacement obtained in advance from registered authentic letters are used to calculate the distance from a standard handwritten letter to a questionable one. A fundamental simulation was conducted in order to evaluate the performance of the proposed method.
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© 2005 Springer-Verlag Berlin Heidelberg
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Mizukami, Y., Tadamura, K., Yoshimura, M., Yoshimura, I. (2005). Statistical Displacement Analysis for Handwriting Verification. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_144
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DOI: https://doi.org/10.1007/11553595_144
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
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