On the intra-subject similarity of hand vein patterns in biometric recognition
作者：
Highlights：
• Similarity between left and right hand vein patterns analyzed in a biometrics context.
• Evaluation conducted on palm, dorsum, and finger veins from four different datasets.
• State-of-the-art convolutional network employed for feature extraction.
• Different network training models used to analyze vein pattern cross-hand similarity.
• Activation maps computed to show discriminative patterns in distinct training models.
摘要
•Similarity between left and right hand vein patterns analyzed in a biometrics context.•Evaluation conducted on palm, dorsum, and finger veins from four different datasets.•State-of-the-art convolutional network employed for feature extraction.•Different network training models used to analyze vein pattern cross-hand similarity.•Activation maps computed to show discriminative patterns in distinct training models.
论文关键词：Biometric recognition,Vein patterns,Deep learning
论文评审过程：Received 25 May 2021, Revised 25 November 2021, Accepted 25 November 2021, Available online 20 December 2021, Version of Record 1 January 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116305
