Direct attacks using fake images in iris verification
| Autor: | Javier Ortega-Garcia, Javier Galbally, Julian Fierrez, Fernando Alonso-Fernandez, Virginia Ruiz-Albacete, Pedro Tome-Gonzalez |
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| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Direct attacks Engineering Biometrics Iris verification Computer Vision and Pattern Recognition (cs.CV) Iris recognition Computer Science - Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Signalbehandling urologic and male genital diseases Segmentation Computer vision cardiovascular diseases ComputingMethodologies_COMPUTERGRAPHICS business.industry urogenital system fungi female genital diseases and pregnancy complications Fake iris ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS ComputingMethodologies_PATTERNRECOGNITION Signal Processing IRIS (biosensor) Artificial intelligence business |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783540899907 BIOID |
| DOI: | 10.48550/arxiv.2111.00178 |
| Popis: | In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied. A database of fake iris images has been created from real iris of the BioSec baseline database. Iris images are printed using a commercial printer and then, presented at the iris sensor. We use for our experiments a publicly available iris recognition system, which some modifications to improve the iris segmentation step. Based on results achieved on different operational scenarios, we show that the system is vulnerable to direct attacks, pointing out the importance of having countermeasures against this type of fraudulent actions. Comment: Published at European Workshop on Biometrics and Identity Management (BIOID) |
| Databáze: | OpenAIRE |
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