TY - GEN
T1 - IRISREC
T2 - 6th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2006
AU - Mateo, Noé Otero
AU - Rodríguez, Miguel Ángel Vega
AU - Pulido, Juan Antonio Gómez
AU - Pérez, Juan Manuel Sánchez
PY - 2006
Y1 - 2006
N2 - This paper presents a biometric identification system by means of iris recognition, making special emphasis in an efficient but also simple design, and describing in depth all the employed algorithms, especially those used for image processing. Our system is based on iris isolation, Gabor filters coding and feature extraction thus being simple and functional. In fact, the experimental results, based on 715 iris images, show that false acceptance rate (FAR) is only 0.7191%, and false reject rate (FRR) 3.5121%.
AB - This paper presents a biometric identification system by means of iris recognition, making special emphasis in an efficient but also simple design, and describing in depth all the employed algorithms, especially those used for image processing. Our system is based on iris isolation, Gabor filters coding and feature extraction thus being simple and functional. In fact, the experimental results, based on 715 iris images, show that false acceptance rate (FAR) is only 0.7191%, and false reject rate (FRR) 3.5121%.
KW - Biometrics
KW - Feature extraction
KW - Iris recognition
UR - http://www.scopus.com/inward/record.url?scp=56349167093&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:56349167093
SN - 0889865981
SN - 9780889865983
T3 - Proceedings of the 6th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2006
SP - 243
EP - 248
BT - Proceedings of the 6th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2006
Y2 - 28 August 2006 through 30 August 2006
ER -