Rubisley de P. Lemes, O. Bellon, Luciano Silva, Anil K. Jain
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引用次数: 56
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 Paraná). An image acquisition protocol was developed in order to collect suitable images. When considering the good quality palmar images, the results show that the proposed approach is promising.
我们提出了一些通过手掌表面的高分辨率图像识别新生儿的结果。据我们所知,目前还没有可以有效用于新生儿识别的生物识别系统。在实践中,为这一目的而手动捕获油墨足迹的程序仅限于在医院内部使用,并且不是用于识别目的的有效解决方案。在新生儿的手上使用摩擦脊图案是具有挑战性的,因为新生儿的乳头脊尺寸小,平均比成人指纹的脊小2.5到3倍,而且它们很脆弱,使它们易于变形。所提出的基于掌纹的新生儿自动识别系统使用相对简单,表明了该方法的可行性。实验是在大学医院(universsidade Federal do paranar)收集的250名新生儿的图像上进行的。为了采集合适的图像,开发了图像采集协议。当考虑到高质量的手掌图像时,结果表明该方法是有前途的。