Journal
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume E97D, Issue 5, Pages 1371-1373Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1587/transinf.E97.D.1371
Keywords
feature-level fusion; finger vein; finger dorsal texture; orientation selection
Funding
- Shenzhen Basic Research Project [JC201006030866A]
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This study proposes a feature-level fusion method that uses finger veins (FVs) and finger dorsal texture (FDT) for personal authentication based on orientation selection (OS). The orientation codes obtained by the filters correspond to different parts of an image (foreground or background) and thus different orientations offer different levels of discrimination performance. We have conducted an orientation component analysis on both FVs and FDT. Based on the analysis, an OS scheme is devised which combines' the discriminative orientation features of both modalities. Our experiments demonstrate the effectiveness of the proposed method.
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