Palmprint recognition with Local Micro-structure Tetra Pattern

作者：

Highlights：

• A novel Local Micro-structure Tetra Pattern (LMTrP) is proposed.

• A framework to the palmprint recognition based on LMTrP is presented.

• The proposed method to the palmprint recognition is less sensitive to mere misalignment.

• The proposed method to the palmprint recognition outperforms state-of-the-art local feature based approaches.

摘要

•A novel Local Micro-structure Tetra Pattern (LMTrP) is proposed.•A framework to the palmprint recognition based on LMTrP is presented.•The proposed method to the palmprint recognition is less sensitive to mere misalignment.•The proposed method to the palmprint recognition outperforms state-of-the-art local feature based approaches.

论文关键词：Biometrics,Feature extraction,Local descriptor,Palmprint recognition,Subspace learning,Local Tetra Pattern

论文评审过程：Received 8 January 2016, Revised 28 April 2016, Accepted 28 June 2016, Available online 30 June 2016, Version of Record 2 August 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.06.025