Extraction of intersecting palm‐vein and palmprint features for cancellable identity verification

Author:

Lee Jaekwon1,Oh Beom‐Seok2,Toh Kar‐Ann1ORCID

Affiliation:

1. School of Electrical and Electronic Engineering Yonsei University Seoul Republic of Korea

2. Department of Applied Artificial Intelligence Seoul National University of Science and Technology Seoul Republic of Korea

Abstract

AbstractA novel method based on the cross‐modality intersecting features of the palm‐vein and the palmprint is proposed for identity verification. Capitalising on the unique geometrical relationship between the two biometric modalities, the cross‐modality intersecting points provides a stable set of features for identity verification. To facilitate flexibility in template changes, a template transformation is proposed. While maintaining non‐invertibility, the template transformation allows transformation sizes beyond that offered by the conventional means. Extensive experiments using three public palm databases are conducted to verify the effectiveness the proposed system for identity recognition.

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

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