Personal identification using a cross-sectional hyperspectral image of a hand.

ABSTRACT:

Significance

I explore hyperspectral imaging, a rapid and noninvasive technique with significant potential in biometrics and medical diagnosis. Personal identification was performed using cross-sectional hyperspectral images of palms, offering a simpler and more robust method than conventional vascular pattern identification methods.

Aim

I aim to demonstrate the potential of local cross-sectional hyperspectral palm images to identify individuals with high accuracy.

Approach

Hyperspectral imaging of palms, artificial intelligence (AI)-based region of interest (ROI) detection, feature vector extraction, and dimensionality reduction were utilized to validate personal identification accuracy using the area under the curve (AUC) and equal error rate (EER).

Results

T

SUBMITTER: Suzuki T 

PROVIDER: S-EPMC11649094 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature