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arXiv · 1905.01207

Offline Writer Identification based on the Path Signature Feature

Songxuan Lai·Lianwen Jin
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Abstract

In this paper, we propose a novel set of features for offline writer identification based on the path signature approach, which provides a principled way to express information contained in a path. By extracting local pathlets from handwriting contours, the path signature can also characterize the offline handwriting style. A codebook method based on the log path signature---a more compact way to express the path signature---is used in this work and shows competitive results on several benchmark offline writer identification datasets, namely the IAM, Firemaker, CVL and ICDAR2013 writer identification contest dataset.

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Songxuan Lai, Lianwen Jin. 2019-05-03. Offline Writer Identification based on the Path Signature Feature. https://arxiv.org/abs/1905.01207

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