Verification system based on long-range iris and Graph Siamese Neural Networks

Author:

Zola Francesco1ORCID,Fernandez-Carrasco Jose Alvaro2ORCID,Bruse Jan Lukas3ORCID,Galar Mikel4ORCID,Geradts Zeno5ORCID

Affiliation:

1. Digital Security Department, Vicomtech Foundation, Spain and Department Forensic and Biometric Traces, Netherlands Forensic Institute (NFI), Netherlands

2. Digital Security Department, Vicomtech Foundation, Spain

3. Data Intelligence for Industry Department, Vicomtech Foundation, Spain

4. Department of Statistics, Computer Science and Mathematics, Public University of Navarre (UPNA), Spain

5. Department Forensic and Biometric Traces, Netherlands Forensic Institute (NFI), Netherlands

Funder

Spanish Centre for the Development of Industrial Technology (CDTI) under the project ÉGIDA

Publisher

ACM

Reference51 articles.

1. Soft biometrics—combining body weight and fat measurements with fingerprint biometrics

2. A multi-biometric iris recognition system based on a deep learning approach

3. Study on most popular behavioral biometrics, advantages, disadvantages and recent applications: A review;Alsaadi Israa Majeed;Int. J. Sci. Technol. Res,2021

4. Faisal Bashir , Pablo Casaverde , David Usher , and Marc Friedman . 2008 . Eagle-eyes: A system for iris recognition at a distance . In 2008 IEEE Conference on Technologies for Homeland Security. IEEE, 426–431 . Faisal Bashir, Pablo Casaverde, David Usher, and Marc Friedman. 2008. Eagle-eyes: A system for iris recognition at a distance. In 2008 IEEE Conference on Technologies for Homeland Security. IEEE, 426–431.

5. SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK

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