Image Quality Assessment for Iris Biometrics for Minors

被引：0
|
作者：
Nelufule, Norman [1 ]
de Kock, Antonie [1 ]
Mabuza-Hocquet, Gugulethu [1 ]
Moolla, Yaseen [1 ]
机构：
[1] CSIR, Dept Informat Secur, Modelling & Digital Sci Unit, Meiring Naude Rd, Pretoria, South Africa
来源：
2019 CONFERENCE ON INFORMATION COMMUNICATIONS TECHNOLOGY AND SOCIETY (ICTAS) | 2019年
关键词：
Children biometric; iris recognition; quality assessment; image quality; occlusion; iris features; RECOGNITION; RANDOMNESS;
D O I：
10.1109/ictas.2019.8703520
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Image quality assessment plays an important role in enhancing the performance of pattern recognition systems, including biometric systems. Although, quality assessment methods have been utilized for iris recognition on adults they have not been investigated on iris recognition for children. Iris recognition on children is difficult because of their uncooperative nature and may result in lower quality iris samples. In this study, we applied four existing quality assessment methods, light variation, pupil dilation, off-angle, and pixel count to data we collected from children and the CASIA database with iris images from adults. The results indicate that once the image without any visible iris area are removed, using an automated process, then the remaining images for children produces similar quality assessment distributions as those of iris images from adults. This study is the first step in creating an iris recognition system for children.
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页数：6
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