Title :
Sift-based iris recognition using sub-segments
Author :
Mesecan, Ibrahim ; Eleyan, A. ; Karlik, Bekir
Author_Institution :
Comput. Eng., Epoka Univ. Tirana, Tirana, Albania
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;
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
DOI :
10.1109/TAEECE.2013.6557299