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Proceedings Paper

Segmentation-free ocular detection and recognition
Author(s): Andres Rodriguez; Jeffrey Panza; B. V. K. Vijaya Kumar
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Paper 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.

Paper Details

Date Published: 17 May 2011
PDF: 9 pages
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); doi: 10.1117/12.884640
Show Author Affiliations
Andres Rodriguez, Carnegie Mellon Univ. (United States)
Jeffrey Panza, Carnegie Mellon Univ. (United States)
B. V. K. Vijaya Kumar, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 8029:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross; Sárka O. Southern; Kevin N. Montgomery; Carl W. Taylor; Bernhard H. Weigl, Editor(s)

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