A comparative study of robust segmentation algorithms for iris verification system of high reliability

Mireya S. García-Vázquez, Eduardo Garea-Llano, Juan M. Colores-Vargas, Luis M. Zamudio-Fuentes, Alejandro A. Ramírez-Acosta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer International Publishing Switzerland 2015. Iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain high reliability and stability of this kind of systems in harsh environments. Iris segmentation is one of the most important process in iris recognition to preserve the above-mentioned characteristics. Indeed, iris segmentation may compromise the performance of the entire system. This paper presents a comparative study of four segmentation algorithms in the frame of the high reliability iris verification system. These segmentation approaches are implemented, evaluated and compared based on their accuracy using three unconstraint databases, one of them is a video iris database. The result shows that, for an ultra-high security system on verification at FAR = 0.01%, segmentation 3 (Viterbi) presents the best results.
Original languageAmerican English
Title of host publicationA comparative study of robust segmentation algorithms for iris verification system of high reliability
Pages156-165
Number of pages139
ISBN (Electronic)9783319192635
DOIs
StatePublished - 1 Jan 2015
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9116
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

Fingerprint

Iris
Comparative Study
Segmentation
Iris Recognition
Security systems
Person
Entire
Necessary

Cite this

García-Vázquez, M. S., Garea-Llano, E., Colores-Vargas, J. M., Zamudio-Fuentes, L. M., & Ramírez-Acosta, A. A. (2015). A comparative study of robust segmentation algorithms for iris verification system of high reliability. In A comparative study of robust segmentation algorithms for iris verification system of high reliability (pp. 156-165). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9116). https://doi.org/10.1007/978-3-319-19264-2_16
García-Vázquez, Mireya S. ; Garea-Llano, Eduardo ; Colores-Vargas, Juan M. ; Zamudio-Fuentes, Luis M. ; Ramírez-Acosta, Alejandro A. / A comparative study of robust segmentation algorithms for iris verification system of high reliability. A comparative study of robust segmentation algorithms for iris verification system of high reliability. 2015. pp. 156-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{e873a7b433824136ad7062acb9961724,
title = "A comparative study of robust segmentation algorithms for iris verification system of high reliability",
abstract = "{\circledC} Springer International Publishing Switzerland 2015. Iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain high reliability and stability of this kind of systems in harsh environments. Iris segmentation is one of the most important process in iris recognition to preserve the above-mentioned characteristics. Indeed, iris segmentation may compromise the performance of the entire system. This paper presents a comparative study of four segmentation algorithms in the frame of the high reliability iris verification system. These segmentation approaches are implemented, evaluated and compared based on their accuracy using three unconstraint databases, one of them is a video iris database. The result shows that, for an ultra-high security system on verification at FAR = 0.01{\%}, segmentation 3 (Viterbi) presents the best results.",
author = "Garc{\'i}a-V{\'a}zquez, {Mireya S.} and Eduardo Garea-Llano and Colores-Vargas, {Juan M.} and Zamudio-Fuentes, {Luis M.} and Ram{\'i}rez-Acosta, {Alejandro A.}",
year = "2015",
month = "1",
day = "1",
doi = "10.1007/978-3-319-19264-2_16",
language = "American English",
isbn = "9783319192635",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "156--165",
booktitle = "A comparative study of robust segmentation algorithms for iris verification system of high reliability",

}

García-Vázquez, MS, Garea-Llano, E, Colores-Vargas, JM, Zamudio-Fuentes, LM & Ramírez-Acosta, AA 2015, A comparative study of robust segmentation algorithms for iris verification system of high reliability. in A comparative study of robust segmentation algorithms for iris verification system of high reliability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9116, pp. 156-165, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/18. https://doi.org/10.1007/978-3-319-19264-2_16

A comparative study of robust segmentation algorithms for iris verification system of high reliability. / García-Vázquez, Mireya S.; Garea-Llano, Eduardo; Colores-Vargas, Juan M.; Zamudio-Fuentes, Luis M.; Ramírez-Acosta, Alejandro A.

A comparative study of robust segmentation algorithms for iris verification system of high reliability. 2015. p. 156-165 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9116).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A comparative study of robust segmentation algorithms for iris verification system of high reliability

AU - García-Vázquez, Mireya S.

AU - Garea-Llano, Eduardo

AU - Colores-Vargas, Juan M.

AU - Zamudio-Fuentes, Luis M.

AU - Ramírez-Acosta, Alejandro A.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - © Springer International Publishing Switzerland 2015. Iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain high reliability and stability of this kind of systems in harsh environments. Iris segmentation is one of the most important process in iris recognition to preserve the above-mentioned characteristics. Indeed, iris segmentation may compromise the performance of the entire system. This paper presents a comparative study of four segmentation algorithms in the frame of the high reliability iris verification system. These segmentation approaches are implemented, evaluated and compared based on their accuracy using three unconstraint databases, one of them is a video iris database. The result shows that, for an ultra-high security system on verification at FAR = 0.01%, segmentation 3 (Viterbi) presents the best results.

AB - © Springer International Publishing Switzerland 2015. Iris recognition is being widely used in different environments where the identity of a person is necessary. Therefore, it is a challenging problem to maintain high reliability and stability of this kind of systems in harsh environments. Iris segmentation is one of the most important process in iris recognition to preserve the above-mentioned characteristics. Indeed, iris segmentation may compromise the performance of the entire system. This paper presents a comparative study of four segmentation algorithms in the frame of the high reliability iris verification system. These segmentation approaches are implemented, evaluated and compared based on their accuracy using three unconstraint databases, one of them is a video iris database. The result shows that, for an ultra-high security system on verification at FAR = 0.01%, segmentation 3 (Viterbi) presents the best results.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84937420931&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84937420931&origin=inward

U2 - 10.1007/978-3-319-19264-2_16

DO - 10.1007/978-3-319-19264-2_16

M3 - Conference contribution

SN - 9783319192635

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 156

EP - 165

BT - A comparative study of robust segmentation algorithms for iris verification system of high reliability

ER -

García-Vázquez MS, Garea-Llano E, Colores-Vargas JM, Zamudio-Fuentes LM, Ramírez-Acosta AA. A comparative study of robust segmentation algorithms for iris verification system of high reliability. In A comparative study of robust segmentation algorithms for iris verification system of high reliability. 2015. p. 156-165. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-19264-2_16