Hybrid method based on topography for robust detection of iris center and eye corners

Published

Journal Article

A multistage procedure to detect eye features is presented. Multiresolution and topographic classification are used to detect the iris center. The eye corner is calculated combining valley detection and eyelid curve extraction. The algorithm is tested in the BioID database and in a proprietary database containing more than 1200 images. The results show that the suggested algorithm is robust and accurate. Regarding the iris center our method obtains the best average behavior for the BioID database compared to other available algorithms. Additional contributions are that our algorithm functions in real time and does not require complex post processing stages.. © 2014 ACM.

Full Text

Duke Authors

Cited Authors

  • Villanueva, A; Ponz, V; Sesma-Sanchez, L; Ariz, M; Porta, S; Cabeza, R

Published Date

  • January 1, 2013

Published In

Volume / Issue

  • 9 / 4

Electronic International Standard Serial Number (EISSN)

  • 1551-6865

International Standard Serial Number (ISSN)

  • 1551-6857

Digital Object Identifier (DOI)

  • 10.1145/2501643.2501647

Citation Source

  • Scopus