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

Jaekwon Lee, Beom Seok Oh, Kar Ann Toh

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

A 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.

Original languageEnglish
Pages (from-to)69-86
Number of pages18
JournalCAAI Transactions on Intelligence Technology
Volume9
Issue number1
DOIs
Publication statusPublished - 2024 Feb

Bibliographical note

Publisher Copyright:
© 2024 The Authors. CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology.

All Science Journal Classification (ASJC) codes

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

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