Iris image segmentation and sub-optimal images

Iris image segmentation and sub-optimal images

Iris recognition is well developed and works well for optimal or near-optimal iris images. Dealing with sub-optimal images remains a challenge. Resolution, wavelength, occlusion and gaze are among the most important factors for sub-optimal images. In this paper, we explore the sensitivity of matchin...

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Veröffentlicht in:Image and vision computing 2010-02, Vol.28 (2), p.215-222
Hauptverfasser: Matey, James R., Broussard, Randy, Kennell, Lauren
Format: Artikel
Sprache:eng
Schlagworte:
Biometric
Dealing
Image segmentation
Iris recognition
Iris segmentation
Mathematical models
Optimization
Recognition
Segmentation
Wavelengths
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Beschreibung
Zusammenfassung:Iris recognition is well developed and works well for optimal or near-optimal iris images. Dealing with sub-optimal images remains a challenge. Resolution, wavelength, occlusion and gaze are among the most important factors for sub-optimal images. In this paper, we explore the sensitivity of matching to these factors through analysis and numerical simulation, with particular emphasis on the segmentation portion of the processing chain.
ISSN:0262-8856
1872-8138
DOI:10.1016/j.imavis.2009.05.006