Effective distribution of nutritional and healthcare aid for children, particularly infants and toddlers, in some of the least developed and most impoverished countries of the world, is a major problem due to the lack of reliable identification documents. Biometric authentication technology has been investigated to address child recognition in the absence of reliable ID documents. We present a mobile-based contactless palmprint recognition system, called Child Palm-ID, which meets the requirements of usability, hygiene, cost, and accuracy for child recognition. Using a contactless child palmprint database, Child-PalmDB1, consisting of 19,158 images from 1,020 unique palms (in the age range of 6 mos. to 48 mos.), we report a TAR=94.11% @ FAR=0.1%. The proposed Child Palm-ID system is also able to recognize adults, achieving a TAR=99.4% on the CASIA contactless palmprint database and a TAR=100% on the COEP contactless adult palmprint database, both @ FAR=0.1%. These accuracies are competitive with the SOTA provided by COTS systems. Despite these high accuracies, we show that the TAR for time-separated child-palmprints is only 78.1% @ FAR=0.1%.

翻译：为世界上一些最不发达和最贫困国家的儿童（尤其是婴幼儿）提供营养和医疗援助的有效分配，因缺乏可靠的身份识别文件而成为一个主要问题。生物特征认证技术已被研究用于在缺乏可靠身份证件的情况下实现儿童识别。我们提出了一种基于移动设备的非接触式掌纹识别系统，名为Child Palm-ID，该系统满足儿童识别在可用性、卫生、成本和准确性方面的要求。利用包含来自1,020个独特手掌（年龄范围6个月至48个月）的19,158张图像的非接触式儿童掌纹数据库Child-PalmDB1，我们报告在FAR=0.1%时TAR=94.11%。所提出的Child Palm-ID系统还能识别成人，在CASIA非接触式掌纹数据库上达到TAR=99.4%，在COEP非接触式成人掌纹数据库上达到TAR=100%，两者均在FAR=0.1%条件下。这些准确度与商业现成系统提供的最先进水平相当。尽管准确度很高，但我们显示时间间隔采集的儿童掌纹在FAR=0.1%时TAR仅为78.1%。