DocumentCode :
2401053
Title :
Iris based human recognition system
Author :
Jhamb, Mansi ; Khera, Vinod Kumar
Author_Institution :
USIT, Guru Gobind Singh Inderprastha Univ., Delhi, India
fYear :
2010
fDate :
28-29 Dec. 2010
Firstpage :
1
Lastpage :
9
Abstract :
The paper explores iris recognition for personal identification and verification. In this paper a new iris recognition technique is proposed using (Scale Invariant Feature Transform) SIFT. Image-processing algorithms have been validated on noised real iris image database. The proposed innovative technique is computationally effective as well as reliable in terms of recognition rates.
Keywords :
Hough transforms; image denoising; iris recognition; image processing algorithm; iris based human recognition system; personal identification; real iris image database; scale invariant feature transform; Databases; Eyelids; Feature extraction; Fitting; Image edge detection; Iris recognition; Transforms; Hough Transform; Iris recognition; KeyPoints; SIFT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5965-0
Electronic_ISBN :
978-1-4244-5967-4
Type :
conf
DOI :
10.1109/ICCIC.2010.5705766
Filename :
5705766
Link To Document :
بازگشت