TY - GEN
T1 - Analysis of the improvement on textural information in human iris recognition
AU - Llano, Eduardo Garea
AU - García-Vázquez, Mireya S.
AU - Zamudio-Fuentes, Luis Miguel
AU - Colores Vargas, Juan M.
AU - Ramírez-Acosta, Alejandro A.
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.
PY - 2017
Y1 - 2017
N2 - Recent works in the area of biometrics have shown that fusion at segmentation level (FSL) has contributed to the robustness in iris recognition compared with the recognition obtained from a single segmentation. Different segmentation algorithms can produce different iris textural information from the same image. Considering FSL and combining a method for quality evaluation of images, in this paper we present the analysis of the improvement on textural information in human iris images. The images set for the experiments were four international databases, MBGC-V2 (iris video database), CASIA-V3-Interval, CASIA V4 Thousands and UBIRIS v1 (iris image databases). The Equal Error Rate is used as metric to show the improvement of the recognition rates and hence the textural information improvement.
AB - Recent works in the area of biometrics have shown that fusion at segmentation level (FSL) has contributed to the robustness in iris recognition compared with the recognition obtained from a single segmentation. Different segmentation algorithms can produce different iris textural information from the same image. Considering FSL and combining a method for quality evaluation of images, in this paper we present the analysis of the improvement on textural information in human iris images. The images set for the experiments were four international databases, MBGC-V2 (iris video database), CASIA-V3-Interval, CASIA V4 Thousands and UBIRIS v1 (iris image databases). The Equal Error Rate is used as metric to show the improvement of the recognition rates and hence the textural information improvement.
KW - Iris texture enhancement
KW - Segmentation fusion
KW - Verification and quality
KW - Video iris
UR - http://www.scopus.com/inward/record.url?scp=85018386611&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-4086-3_94
DO - 10.1007/978-981-10-4086-3_94
M3 - Contribución a la conferencia
AN - SCOPUS:85018386611
SN - 9789811040856
T3 - IFMBE Proceedings
SP - 373
EP - 376
BT - 7th Latin American Congress on Biomedical Engineering, CLAIB 2016
A2 - Bustamante, John
A2 - Sierra, Daniel A.
A2 - Torres, Isnardo
PB - Springer Verlag
T2 - 7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Y2 - 26 October 2016 through 28 October 2016
ER -