Developing and least developed countries face the dire challenge of ensuring that each child in their country receives required doses of vaccination, adequate nutrition and proper medication. International agencies such as UNICEF, WHO and WFP, among other organizations, strive to find innovative solutions to determine which child has received the benefits and which have not. Biometric recognition systems have been sought out to help solve this problem. To that end, this report establishes a baseline accuracy of a commercial contactless palmprint recognition system that may be deployed for recognizing children in the age group of one to five years old. On a database of contactless palmprint images of one thousand unique palms from 500 children, we establish SOTA authentication accuracy of 90.85% @ FAR of 0.01%, rank-1 identification accuracy of 99.0% (closed set), and FPIR=0.01 @ FNIR=0.3 for open-set identification using PalmMobile SDK from Armatura.
翻译:发展中国家和最不发达国家面临着确保本国每个儿童获得所需接种剂量、充足营养和适当药物的严峻挑战,儿童基金会、卫生组织和粮食计划署等国际机构和其他组织努力寻找创新办法,确定哪些儿童已经获得福利,哪些没有。已寻求生物测定识别系统,以帮助解决这一问题。为此,本报告确定了商业无接触棕榈指纹识别系统的基准准确性,该系统可用于识别一至五岁年龄组的儿童。在500名儿童1 000只独特棕榈的无接触棕榈印图象数据库中,我们建立了SOTA认证准确度90.85%@FAR,0.01%,排名1识别精确度99.0%(固定套),以及FPIR=0.01@FNIR=0.3,用于在Armatu使用Palmobile SDK进行开放式识别。