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.
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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 - 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.
KW - Iris recognition
KW - Segmentation
KW - Uncontrolled environments
UR - http://www.scopus.com/inward/record.url?scp=84937420931&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19264-2_16
DO - 10.1007/978-3-319-19264-2_16
M3 - Contribución a la conferencia
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 156
EP - 165
BT - Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings
A2 - Olvera López, José Arturo
A2 - Carrasco-Ochoa, Jesús Ariel
A2 - Martínez-Trinidad, José Francisco
A2 - Famili, Fazel
A2 - Sossa-Azuela, Juan Humberto
PB - Springer Verlag
T2 - 7th Mexican Conference on Pattern Recognition, MCPR 2015
Y2 - 24 June 2015 through 27 June 2015
ER -