TY - GEN
T1 - A new retinal recognition system using a logarithmic spiral sampling grid
AU - Villalobos Castaldi, Fabiola M.
AU - Felipe-Riveron, Edgardo M.
AU - Gómez, Ernesto Suaste
PY - 2014
Y1 - 2014
N2 - The retinal vascular network has many desirable characteristics as a basis for authentication, including uniqueness, stability, and permanence. In this paper, a new approach for retinal images features extraction and template coding is proposed. The use of the logarithmic spiral sampling grid in scanning and tracking the vascular network is the key to make this new approach simple, flexible and reliable. Experiments show that this approach can achieve the reduction of data dimensionality and of the required time to obtain the biometric code of the vascular network in a retinal image. The performed experiments demonstrated that the proposed verification system has an average accuracy of 95.0 - 98 %.
AB - The retinal vascular network has many desirable characteristics as a basis for authentication, including uniqueness, stability, and permanence. In this paper, a new approach for retinal images features extraction and template coding is proposed. The use of the logarithmic spiral sampling grid in scanning and tracking the vascular network is the key to make this new approach simple, flexible and reliable. Experiments show that this approach can achieve the reduction of data dimensionality and of the required time to obtain the biometric code of the vascular network in a retinal image. The performed experiments demonstrated that the proposed verification system has an average accuracy of 95.0 - 98 %.
KW - Logarithmic spiral sampling grid
KW - biometry
KW - retinal images
KW - spiral scan and sampling
KW - time series representations
UR - http://www.scopus.com/inward/record.url?scp=84904874576&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07491-7_25
DO - 10.1007/978-3-319-07491-7_25
M3 - Contribución a la conferencia
SN - 9783319074900
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 241
EP - 250
BT - Pattern Recognition - 6th Mexican Conference, MCPR 2014, Proceedings
PB - Springer Verlag
T2 - 6th Mexican Conference on Pattern Recognition, MCPR 2014
Y2 - 25 June 2014 through 28 June 2014
ER -