Conference Paper

Newborn's Biometric Identification: Can it be done?

Conference: VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008 - Volume 1
Source: DBLP
1 Bookmark
 · 
163 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Many research studies demonstrated that recognition based on ear biometrics offers an accuracy which is comparable to face trait, especially in controlled settings. Our proposal is to exploit it to avoid the problem of newborn swap, which is possible and actually happens, most of all in crowded maternity wards of big hospitals. We tested the viability of this solution using a dataset of ear images of newborns, and the obtained results testify that it is possible to decrease the probability of an error using this technique.
    2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, Rome, Italy; 10/2014
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We present some results on newborn identification through high-resolution images of palmar surfaces. To our knowledge, there is no biometric system currently available that can be effectively used for newborn identification. The manual procedure of capturing inked footprints in practice for this purpose is limited for use inside hospitals and is not an effective solution for identification purposes. The use of friction ridge patterns on the hands of newborns is challenging due to both the small size of newborn's papillary ridges, which are, on average, 2.5 to 3 times smaller than the ridges in adult fingerprints, and their fragility, making them amenable to deformation. The proposed palmprint based automatic system for newborn identification is relatively easy to use and shows the feasibility of this approach. Experiments were performed on images collected from 250 newborns at the University Hospital (Universidade Federal do Parana). An image acquisition protocol was developed in order to collect suitable images. When considering the good quality palmar images, the results show that the pro- posed approach is promising.
    Biometrics (IJCB), 2011 International Joint Conference on; 01/2011
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We present results on newborn identification through automatic matching of high-resolution images of palmar surfaces. The use of friction ridge patterns for newborns is challenging due to both the small size of newborn's papillary ridges and their fragility. In this context we present our main contri-butions: a protocol for image acquisition, and algorithms for image processing and recognition. Experiments were performed on images collected from 250 newborns at a university hospital. For good quality palmar images, the results show that the proposed approach is promising. Resumo. Apresentamos resultados em identificação automática de recém-nascidos através de imagens de alta-resolução da superfície palmar. Devido as cristas papilares em recém-nascidos serem mais finas, o problema da iden-tificação é um grande desafio, agravado pela fragilidade dessas cristas. Neste contexto apresentamos nossas principais contribuições envolvendo: um proto-colo de coleta de imagens, algoritmos de processamento e de identificação de imagens. Experimentos foram realizados em imagens coletadas de 250 bebês da maternidade de nosso Hospital das Clínicas (HC). Analisando imagens de boa qualidade, os resultados mostram que o método proposto é promissor.

Full-text (2 Sources)

Download
897 Downloads
Available from
May 15, 2014