Segmentation-free ocular detection and recognition

Andres Rodriguez; Jeffrey Panza; B. V. K. Vijaya Kumar

doi:10.1117/12.884640

17 May 2011 Segmentation-free ocular detection and recognition

Andres Rodriguez, Jeffrey Panza, B. V. K. Vijaya Kumar

Proceedings Volume 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII; 80291W (2011) https://doi.org/10.1117/12.884640
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

Iris recognition is a well-known technique to identify persons. However this technique requires high resolution images in order to automatically segment the iris. In some scenarios obtaining the required resolution may be difficult. In this paper, we investigate the recognition of ocular regions using correlation filters without segmenting the iris region. This method uses the whole eye region and surrounding areas, i.e., the ocular region, for identification. In our experiments we use the recently developed Quadratic Correlation Filter and show that at low resolutions segmentation-free ocular recognition can succeed while iris segmentation fails.

Citation Download Citation

Andres Rodriguez, Jeffrey Panza, and B. V. K. Vijaya Kumar "Segmentation-free ocular detection and recognition", Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 80291W (17 May 2011); https://doi.org/10.1117/12.884640

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