Experimental analysis regarding the influence of iris segmentation on the recognition rate-Reference-Cited by-同舟云学术

Experimental analysis regarding the influence of iris segmentation on the recognition rate

Published:2016-09 Issue:3 Volume:5 Page:200-211
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Hofbauer Heinz¹,Alonso‐Fernandez Fernando²,Bigun Josef²,Uhl Andreas¹

Affiliation:

1. Department of Computer SciencesUniversity of SalzburgSalzburgAustria

2. Halmstad UniversityIntelligent Systems LabHalmstadSweden

Funder

Austrian Science Fund

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2015.0069

Reference47 articles.

1. Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests

2. Toward Accurate and Fast Iris Segmentation for Iris Biometrics

3. Efficient Iris Recognition by Characterizing Key Local Variations

4. Benini D. et al. : ‘ISO/IEC 29794‐6 biometric sample quality – part 6: iris image data’. International Organization for Standardization Technical Report JTC1/SC37/Working Group 3 2012

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