DocumentCode
617752
Title
Sift-based iris recognition using sub-segments
Author
Mesecan, Ibrahim ; Eleyan, A. ; Karlik, Bekir
Author_Institution
Comput. Eng., Epoka Univ. Tirana, Tirana, Albania
fYear
2013
fDate
9-11 May 2013
Firstpage
350
Lastpage
353
Abstract
In this paper, we investigate the use of Scale Invariant Feature Transform (SIFT) for iris recognition problem with sub-segments. Instead of using the whole iris, we extracted sub-segments from the iris image for classification. These subsegments were used separately for classification. Also, feature based fusion is applied using different sub-segments from the same iris. A preprocessing step for cropping the iris area from the images was address in this paper as well to increase performance of the system. The simulation results show high performance on the used database.
Keywords
computer vision; feature extraction; image classification; image fusion; image segmentation; iris recognition; transforms; feature-based fusion; iris area cropping; iris image classification; scale invariant feature transform; sift-based iris recognition; sub-segment extraction; Computers; Educational institutions; Image recognition; Iris recognition; Vectors; fusion; iris recognition; scale invariant feature transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on
Conference_Location
Konya
Print_ISBN
978-1-4673-5612-1
Type
conf
DOI
10.1109/TAEECE.2013.6557299
Filename
6557299
Link To Document