Person identification using vascular and non-vascular retinal features

Author:

Waheed Zahra,Usman Akram M.,Waheed Amna,Khan Muazzam A.,Shaukat Arslan,Ishaq Mazhar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. Robust feature extraction and iris recognition for biometric personal identification;Abiyev,2011

2. An efficient system for palm print recognition using ridges;George,2014

3. Dorsal hand vein biometric using independent component analysis;Khan,2011

4. The fundus oculi in monozygotic twins: report of six pairs of identical twins;Tower;Arch Ophthalmol,1955

5. Personal identification algorithm based on retinal blood vessels bifurcations;Patwari,2014

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1. MSR U-Net: An Improved U-Net Model for Retinal Blood Vessel Segmentation;IEEE Access;2024

2. Unobtrusive biometric data de-identification of fundus images using latent space disentanglement;Biomedical Optics Express;2023-09-26

3. Similarity evaluation of retinal vascular network based on tree edit distance;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

4. A Review: Person Identification using Retinal Fundus Images;International Journal of Electronics and Telecommunications;2023-07-26

5. MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation;Communications in Computer and Information Science;2022

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