Finger-vein recognition based on dual-sliding window localization and pseudo-elliptical transformer

作者：

Highlights：

• A new dual-sliding window model is designed to locate the phalangeal joint.

• A new pseudo-elliptical sampling model is proposed to transform the finger-vein image.

• The first model is robust to light illumination and guarantee stable ROI extraction.

• The next one reduces the image differences of the same finger at different captures.

• These models were tested on the databases: SDUMLA-HMT, THU-FVFDT3 and FV_USM.

摘要

•A new dual-sliding window model is designed to locate the phalangeal joint.•A new pseudo-elliptical sampling model is proposed to transform the finger-vein image.•The first model is robust to light illumination and guarantee stable ROI extraction.•The next one reduces the image differences of the same finger at different captures.•These models were tested on the databases: SDUMLA-HMT, THU-FVFDT3 and FV_USM.

论文关键词：Finger-vein recognition,Dual-sliding window model,Phalangeal joint location,Pseudo-elliptical sampling model

论文评审过程：Received 15 March 2016, Revised 3 August 2016, Available online 4 August 2016, Version of Record 11 August 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.08.031