论文标题
儿童棕榈：非接触式棕榈识别
Child PalmID: Contactless Palmprint Recognition
论文作者
论文摘要
发展和最不发达国家面临着一个艰巨的挑战，即确保其国家的每个孩子都需要接种剂量的疫苗接种，适当的营养和适当的药物。联合国儿童基金会，谁和粮食计划署等国际机构以及其他组织都努力找到创新的解决方案，以确定哪个孩子已经获得了好处，哪些没有。已经寻找生物识别系统来帮助解决这个问题。为此，该报告确立了商业非接触式掌上识别系统的基线准确性，该系统可以用于识别一到五岁的年龄段的儿童。在500名儿童的一千个独特手掌的非接触式掌刻图像的数据库中，我们建立了SOTA身份验证精度为90.85％ @ far的0.01％，等级-1识别精度为99.0％（封闭设置），FPIR = 0.01 @ fnir = 0.3，用于使用Armatura的Parmmobile Sdk的开放式识别。
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.
