MEASURING THE QUALITY OF IRIS SEGMENTATION FOR IMPROVED IRIS RECOGNITION PERFORMANCE

被引:0
|
作者
Hentati, Raida [1 ]
Dorizzi, Bernadette
Aoudni, Yassine [1 ]
Abid, Mohamed [1 ]
机构
[1] Natl Sch Engn Sfax, Lab Comp & Embedded Syst CES, Sfax, Tunisia
来源
8TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS 2012) | 2012年
关键词
segmentation quality; iris authentication; OSIRIS; EER; execution time; GMM;
D O I
10.1109/SITIS.2012.27
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we present three versions of an open source software for biometric iris recognition called OSIRIS_V2, OSIRIS_V3, OSIRIS_V4 which correspond to different implementations of J. Daugman's approach. The experimental results on the database ICE2005 show that OSIRIS_V4 is the most reliable on difficult images while OSIRIS_V2 is the fastest. So, we propose a novel strategy for iris recognition using OSIRIS_V2 for good quality images and OSIRIS_V4 when the quality of the segmentation of OSIRIS_V2 is not sufficient to ensure good performance. To this end, we measure the quality of an iris segmentation thanks to a GMM model trained on good quality iris texture and we use a threshold on this quality value to shift between the 2 versions of OSIRIS. We show on ICE2005 database how the choice of this threshold value allows compromising between performance and processing speed of the complete process.
引用
收藏
页码:110 / 117
页数:8
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