Are Morphed Periocular Iris Images a Threat to Iris Recognition?

In the last few years, face morphing attacks has been shown to be a complex challenge for Face Recognition Systems (FRSs). Thus, the evaluation of other biometric modalities such as fingerprint, iris, and others must be explored and evaluated to enhance biometric systems. This work proposes an end-t...

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Veröffentlicht in:IEEE transactions on information forensics and security Jg. 20; S. 12417 - 12428
Hauptverfasser: Tapia, Juan E., Gonzalez, Sebastian, Benalcazar, Daniel, Busch, Christoph
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 2025
Schlagworte:
Biometrics
Codes
Face recognition
Feature extraction
Filters
Fingerprint recognition
iris
Iris recognition
morphing attack
periocular
Pupils
Training
Vectors
ISSN:1556-6013, 1556-6021
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Beschreibung
Zusammenfassung:In the last few years, face morphing attacks has been shown to be a complex challenge for Face Recognition Systems (FRSs). Thus, the evaluation of other biometric modalities such as fingerprint, iris, and others must be explored and evaluated to enhance biometric systems. This work proposes an end-to-end framework to produce iris morphs at the image level, creating morphs from periocular iris images. This framework considers different stages such as iris pair selection from different subjects, segmentation, morph creation, and a new iris recognition system. In order to create realistic morphed images, two approaches for subject selection are proposed: random selection and similar pupil radius size selection. A vulnerability analysis and a Single Morphing Attack Detection algorithm were also explored. The results show that this approach obtained very realistic images that can confuse conventional iris recognition systems.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2025.3632231