A Method for the Identification of Inaccuracies in Pupil Segmentation

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	Similar Articles Articles by Hugo Proenca Articles by Luis A. Alexandre

First International Conference on Availability, Reliability and Security (ARES'06)

Vienna, Austria

April 20-April 22

ISBN: 0-7695-2567-9

	ASCII Text	x
	Hugo Proenca, Luis A. Alexandre, "A Method for the Identification of Inaccuracies in Pupil Segmentation," Availability, Reliability and Security, International Conference on, pp. 224-228, First International Conference on Availability, Reliability and Security (ARES'06), 2006.

	BibTex	x
	@article{ 10.1109/ARES.2006.9, author = {Hugo Proenca and Luis A. Alexandre}, title = {A Method for the Identification of Inaccuracies in Pupil Segmentation}, journal ={Availability, Reliability and Security, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2567-9}, pages = {224-228}, doi = {http://doi.ieeecomputersociety.org/10.1109/ARES.2006.9}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Availability, Reliability and Security, International Conference on TI - A Method for the Identification of Inaccuracies in Pupil Segmentation SN - 0-7695-2567-9 SP224 EP228 A1 - Hugo Proenca, A1 - Luis A. Alexandre, PY - 2006 KW - biometrics KW - image extraction KW - image segmentation KW - iris recognition. VL - 0 JA - Availability, Reliability and Security, International Conference on ER -

Hugo Proenca, Universidade da Beira Interior, Covilha, Portugal

Luis A. Alexandre, Universidade da Beira Interior, Covilha, Portugal

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARES.2006.9

In this paper we analyze the relationship between the accuracy of the segmentation algorithm and the error rates of typical iris recognition systems. We selected 1000 images from the UBIRIS database that the segmentation algorithm can accurately segment and artificially introduced segmentation inaccuracies. We repeated the recognition tests and concluded about the strong relationship between the errors in the pupil segmentation and the overall false reject rate. Based on this fact, we propose a method to identify these inaccuracies.

Index Terms:

biometrics, image extraction, image segmentation, iris recognition.

Citation:

Hugo Proenca, Luis A. Alexandre, "A Method for the Identification of Inaccuracies in Pupil Segmentation," ares, pp.224-228, First International Conference on Availability, Reliability and Security (ARES'06), 2006

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