Title :
Pixel parallel vessel tree extraction for a personal authentication system
Author :
Alonso-Montes, C. ; Ortega, M. ; Penedo, M.G. ; Vilarino, D.L.
Author_Institution :
Dept. of Comput. Sci., Univ. of A Coruna, A Coruna
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.
Keywords :
authorisation; biometrics (access control); eye; feature extraction; image registration; trees (mathematics); identification system; image registration; personal retinal authentication system; pixel parallel vessel tree extraction; retinal vessel tree; Authentication; Biometrics; Cellular neural networks; Computer science; Concurrent computing; Hardware; Machine vision; Retina; Retinal vessels; Skeleton;
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
DOI :
10.1109/ISCAS.2008.4541738
