Novel image fusion scheme based on dependency measure for robust multispectral palmprint recognition
作者：
Highlights：
• Novel adaptive weighted image fusion scheme to combine different multi-spectral palmprints.
• Dynamic switching between selection and weighted fusion to achieve high accuracy.
• Novel Scheme for palmprint ROI extraction based on hand shape.
• Extensive qualitative and quantitative analysis of the proposed (ROI & fusion) scheme.
• Benchmarking with well known state-of-the-art schemes that include 5 different contemporary multi-spectral image fusion schemes and 2 well known state-of-the-art palmprint recognition schemes.
摘要
Highlights•Novel adaptive weighted image fusion scheme to combine different multi-spectral palmprints.•Dynamic switching between selection and weighted fusion to achieve high accuracy.•Novel Scheme for palmprint ROI extraction based on hand shape.•Extensive qualitative and quantitative analysis of the proposed (ROI & fusion) scheme.•Benchmarking with well known state-of-the-art schemes that include 5 different contemporary multi-spectral image fusion schemes and 2 well known state-of-the-art palmprint recognition schemes.
论文关键词：Biometrics,Multispectral palmprints,Image fusion,Dependency test,Mutual information
论文评审过程：Received 27 June 2013, Revised 29 August 2013, Accepted 20 December 2013, Available online 3 January 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.12.011
