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