Writer Identification Using GMM Supervectors and Exemplar-SVMs
作者：
Highlights：
• We provide a robust method for offline writer identification.
• We integrate Exemplar-SVMs, which greatly improve the recognition rate.
• We show that RootSIFT descriptors sampled at the contour are strong features.
• We investigate different encoding strategies next to GMM supervectors.
• We evaluate our method on three publicly available datasets (ICDAR13, CVL, KHATT).
摘要
Highlights•We provide a robust method for offline writer identification.•We integrate Exemplar-SVMs, which greatly improve the recognition rate.•We show that RootSIFT descriptors sampled at the contour are strong features.•We investigate different encoding strategies next to GMM supervectors.•We evaluate our method on three publicly available datasets (ICDAR13, CVL, KHATT).
论文关键词：Writer identification,GMM supervectors,Exemplar-SVM
论文评审过程：Received 18 August 2015, Revised 5 June 2016, Accepted 5 October 2016, Available online 11 October 2016, Version of Record 20 October 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.005
