Long distance iris recognition

Author

Amandi, Ruhallah ; Bayat, Mahdi ; Minakhani, Kobra ; Mirloo, Hamidreza ; Bazarghan, Mahdi

Author_Institution

Dept. of Comput. Eng., Zanjan Univ., Zanjan, Iran

fYear

2013

Firstpage

164

Lastpage

168

Abstract

In this paper we introduce an algorithm to analyze the human iris, long-range iris recognition software has been developed to be more user-friendliness and create an economic way to the identification. Our algorithm centralized on pupil detection, and by using estimated ranges we omit the other regions to create more efficient search space. The final decision on iris region detection provides by Hough Transform. We use the Gaussian method to create a refined mask which has an important rule of the matching process. To extract efficient features of iris regions and matching we used SIFT algorithm, Results on CASIAV4-at Distance shows %93 as verification Rate.

Keywords

Gaussian processes; Hough transforms; feature extraction; image matching; iris recognition; object detection; CASIAV4; Gaussian method; Hough transform; SIFT algorithm; feature extraction; human iris analysis; iris region detection; long distance iris recognition; matching process; pupil detection; search space; Algorithm design and analysis; Databases; Feature extraction; Iris recognition; Noise; Transforms; Hough Transform; Image Enhancement; Iris recognition; Local Patch based;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on

Conference_Location

Zanjan

ISSN

2166-6776

Print_ISBN

978-1-4673-6182-8

Type

conf

DOI

10.1109/IranianMVIP.2013.6779971

Filename

6779971