Pixel parallel vessel tree extraction for a personal authentication system

C. Alonso-Montes; M. Ortega; M. G. Penedo; D. L. Vilariño

doi:10.1109/ISCAS.2008.4541738

Pixel parallel vessel tree extraction for a personal authentication system

C. Alonso-Montes^*
, M. Ortega
, M. G. Penedo
, D. L. Vilariño

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

Biometric features have been studied in order to be applied to authentication and identification systems due to its reliability. Among others, the retinal vessel tree have been proposed as a vessel pattern for personal authentication applications, since it is almost impossible to forge. In this kind of systems, the retinal vessel tree is computed from the retinal image, and then a registration process is made. Although reliable and remarkable results have been obtained in this vessel pattern-based system, the required computation effort is quite high, particularly to compute and extract the vessel tree. In this paper, a pixel parallel approach is proposed to tackle with the retinal vessel tree extraction to be used in a personal retinal authentication system, regarding the computation speed.

Original language	English
Title of host publication	2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Pages	1596-1599
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2008.4541738
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States Duration: 18 May 2008 → 21 May 2008

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Conference

Conference	2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008
Country/Territory	United States
City	Seattle, WA
Period	18/05/08 → 21/05/08

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10.1109/ISCAS.2008.4541738

Cite this

@inproceedings{edf447c9b90f4c2ca720f1d946b663de,

title = "Pixel parallel vessel tree extraction for a personal authentication system",

abstract = "Biometric features have been studied in order to be applied to authentication and identification systems due to its reliability. Among others, the retinal vessel tree have been proposed as a vessel pattern for personal authentication applications, since it is almost impossible to forge. In this kind of systems, the retinal vessel tree is computed from the retinal image, and then a registration process is made. Although reliable and remarkable results have been obtained in this vessel pattern-based system, the required computation effort is quite high, particularly to compute and extract the vessel tree. In this paper, a pixel parallel approach is proposed to tackle with the retinal vessel tree extraction to be used in a personal retinal authentication system, regarding the computation speed.",

author = "C. Alonso-Montes and M. Ortega and Penedo, \{M. G.\} and Vilari{\~n}o, \{D. L.\}",

year = "2008",

doi = "10.1109/ISCAS.2008.4541738",

language = "English",

isbn = "9781424416844",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

pages = "1596--1599",

booktitle = "2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008",

note = "2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 ; Conference date: 18-05-2008 Through 21-05-2008",

}

Alonso-Montes, C, Ortega, M, Penedo, MG & Vilariño, DL 2008, Pixel parallel vessel tree extraction for a personal authentication system. in 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008., 4541738, Proceedings - IEEE International Symposium on Circuits and Systems, pp. 1596-1599, 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008, Seattle, WA, United States, 18/05/08. https://doi.org/10.1109/ISCAS.2008.4541738

Pixel parallel vessel tree extraction for a personal authentication system. / Alonso-Montes, C.; Ortega, M.; Penedo, M. G. et al.
2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008. 2008. p. 1596-1599 4541738 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Pixel parallel vessel tree extraction for a personal authentication system

AU - Alonso-Montes, C.

AU - Ortega, M.

AU - Penedo, M. G.

AU - Vilariño, D. L.

PY - 2008

Y1 - 2008

N2 - Biometric features have been studied in order to be applied to authentication and identification systems due to its reliability. Among others, the retinal vessel tree have been proposed as a vessel pattern for personal authentication applications, since it is almost impossible to forge. In this kind of systems, the retinal vessel tree is computed from the retinal image, and then a registration process is made. Although reliable and remarkable results have been obtained in this vessel pattern-based system, the required computation effort is quite high, particularly to compute and extract the vessel tree. In this paper, a pixel parallel approach is proposed to tackle with the retinal vessel tree extraction to be used in a personal retinal authentication system, regarding the computation speed.

AB - Biometric features have been studied in order to be applied to authentication and identification systems due to its reliability. Among others, the retinal vessel tree have been proposed as a vessel pattern for personal authentication applications, since it is almost impossible to forge. In this kind of systems, the retinal vessel tree is computed from the retinal image, and then a registration process is made. Although reliable and remarkable results have been obtained in this vessel pattern-based system, the required computation effort is quite high, particularly to compute and extract the vessel tree. In this paper, a pixel parallel approach is proposed to tackle with the retinal vessel tree extraction to be used in a personal retinal authentication system, regarding the computation speed.

UR - https://www.scopus.com/pages/publications/51749087039

U2 - 10.1109/ISCAS.2008.4541738

DO - 10.1109/ISCAS.2008.4541738

M3 - Conference contribution

AN - SCOPUS:51749087039

SN - 9781424416844

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 1596

EP - 1599

BT - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008

T2 - 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008

Y2 - 18 May 2008 through 21 May 2008

ER -

Pixel parallel vessel tree extraction for a personal authentication system

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