Learning the micro deformations by max-pooling for offline signature verification

作者：

Highlights：

• Proving that CNNs have the potential to capture “micro deformations”.

• Learning the discrimination from a two-phase CNN based feature extractor.

• Achieving state of the art on four benchmark datasets of different languages.

摘要

•Proving that CNNs have the potential to capture “micro deformations”.•Learning the discrimination from a two-phase CNN based feature extractor.•Achieving state of the art on four benchmark datasets of different languages.

论文关键词：Offline signature verification,Micro deformations,Max-pooling

论文评审过程：Received 24 February 2020, Revised 7 February 2021, Accepted 27 April 2021, Available online 6 May 2021, Version of Record 17 May 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108008