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.
Abstract (translated)
本文提出了一套新的基于路径签名方法的离线作家身份识别特性，为路径中的信息表达提供了一种原则性的方法。通过从手写轮廓提取局部路径，路径签名还可以描述脱机手写样式。本文采用了一种基于日志路径签名的码本方法——一种更紧凑的路径签名表达方法，并在IAM、Firemaker、CVL和ICDAR2013等几种基准离线编写器识别数据集上展示了其竞争结果。
URL
https://arxiv.org/abs/1905.01207
