当前位置: X-MOL 学术Pattern Recogn. Lett. › 论文详情
Pupil size as a Soft Biometrics for Age and Gender Classification
Pattern Recognition Letters ( IF 3.255 ) Pub Date : 2020-10-17 , DOI: 10.1016/j.patrec.2020.10.009
Lucia Cascone; Carlo Medaglia; Michele Nappi; Fabio Narducci

The pupil size is a soft biometric trait but in-depth study to analyze it for biometric purposes is lacking in the literature, as well as datasets focused on this field of research are missing. On the basis of these observations, we present an extensive study with the objective of demonstrating that pupil size and dilation over time can be potentially used to classify people by age and by gender. To do this, 14 supervised classifiers were applied on a dataset meant for gaze analysis. Measuring the right and left pupil individually and also simultaneously, the performances of the classifiers have been compared and the worst and best performing selected to support potential fusion strategies. If good results have been obtained for age classification, ranging in 79% - 82% of accuracy, it cannot be said the same for gender. This is due to the dual nature of this biometric trait. Pupil size can be considered as a physical trait for the age classification and behavioral trait for the gender. The results achieved in this study suggest the need for more balanced and reliable datasets.

更新日期:2020-10-17

 

全部期刊列表>>
Springer 纳米技术权威期刊征稿
全球视野覆盖
施普林格·自然新
chemistry
3分钟学术视频演讲大赛
物理学研究前沿热点精选期刊推荐
自然职位线上招聘会
欢迎报名注册2020量子在线大会
化学领域亟待解决的问题
材料学研究精选新
GIANT
ACS ES&T Engineering
ACS ES&T Water
屿渡论文,编辑服务
ACS Publications填问卷
阿拉丁试剂right
麻省大学
西北大学
湖南大学
华东师范大学
王要兵
化学所
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
天合科研
x-mol收录
陆军军医大学
杨财广
廖矿标
试剂库存
down
wechat
bug