Saggese Steven, Zhao Yunting, Kalisky Tom, Avery Courtney, Forster Deborah, Edith Duarte-Vera Lilia, Almada-Salazar Lucila Alejandra, Perales-Gonzalez Daniel, Hubenko Alexandra, Kleeman Michael, Chacon-Cruz Enrique, Aronoff-Spencer Eliah
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, Ca, 92093, USA.
Campus ECISALUD, Universidad Autonoma de Baja-California, Tijuana, Baja-California, Mexico.
Gates Open Res. 2019 Nov 5;3:1477. doi: 10.12688/gatesopenres.12914.2. eCollection 2019.
Despite years of effort, reliable biometric identification of newborns and young children has remained elusive. In this paper, we review the importance of trusted identification methods, the biometric landscape for infants and adults, barriers and success stories, and we discuss specific failure modes particular to young children. We then describe our approach to infant identification using non-contact optical imaging of fingerprints. We detail our technology development history, including Human-Centered Design methods, various iterations of our platform, and how these iterations addressed failure modes in the identification process. We close with a brief description of our clinical trial of newborns and infants at an urban hospital in Mexico and report preliminary results that show high accuracy, with matching rates consistent with acceptable field-performance for reliable biometric identification in large populations.
尽管经过多年努力,但可靠的新生儿和幼儿生物特征识别仍然难以实现。在本文中,我们回顾了可信识别方法的重要性、婴儿和成人的生物特征领域、障碍和成功案例,并讨论了幼儿特有的特定失败模式。然后,我们描述了使用指纹非接触光学成像进行婴儿识别的方法。我们详细介绍了我们的技术发展历程,包括以人为本的设计方法、平台的各种迭代,以及这些迭代如何解决识别过程中的失败模式。最后,我们简要描述了在墨西哥一家城市医院对新生儿和婴儿进行的临床试验,并报告了初步结果,这些结果显示出很高的准确性,匹配率与在大量人群中进行可靠生物特征识别可接受的现场性能一致。