Improving texture analysis performance in biometrics by adjusting image sharpness

作者：

Highlights：

• Improve texture analysis performance in biometrics by adjusting image sharpness.

• We propose a hypothesis that there is an optimal range [E1,E2].

• When image sharpness is tuned to the range, recognition performance can be improved.

• Find the range on PolyU Palmprint Database and CASIA Iris Database.

• EER of palmprint recognition improved by 19.2% and iris recognition improved by 11.5%.

摘要

Highlights•Improve texture analysis performance in biometrics by adjusting image sharpness.•We propose a hypothesis that there is an optimal range [E1,E2].•When image sharpness is tuned to the range, recognition performance can be improved.•Find the range on PolyU Palmprint Database and CASIA Iris Database.•EER of palmprint recognition improved by 19.2% and iris recognition improved by 11.5%.

论文关键词：Image sharpness,Image filtering,Texture analysis,Palmprint recognition,Iris recognition

论文评审过程：Received 16 July 2016, Revised 23 October 2016, Accepted 28 November 2016, Available online 30 November 2016, Version of Record 12 March 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.11.025