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A review on implementation of bimodal newborn authentication using raspberry Pi

机译：使用树莓派实现双峰新生儿身份验证的评论

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摘要

In developing countries the newborn swapping and abduction in hospitals are challenging issue and occurs all over the world. Traditional methods have their own drawbacks. Hence, a newborn personal authentication system is proposed for this issue based on bimodal biometric system wherein footprint of newborn and finger print of their mother is used for recognition. This concept is further enhanced by developing a prototype to be implemented on a raspberry Pi (a single board computer). In this paper, SIFT feature extraction, RANSAC algorithm for matching of fingerprint and footprint biometrics using OpenCV on Raspberry pi is implemented. The raspberry Pi is ARM1176JZFS application processor, System on chip (SoC) denoted as Broadcom BCM2835. It enhances performance, consumes less power, and reduces overall system cost and size. The raspberry Pi is been controlled by a modified version of Debian Linux optimized for ARM architecture. The image recognition is performed using open source OpenCV-2.4.9 in Linux platform using CMake, g++, makefile. Thereby the proposed system improves the security system in hospitals / birth centers and provides a low cost solution to the newborn swapping rather than the expensive DNA procedures. In this paper, discusses about the research works carried on hardware as a biometric module to enhance the performance of a standalone device.
机译：在发展中国家，医院的新生儿交换和绑架是一个具有挑战性的问题，并在世界各地发生。传统方法有其自身的缺点。因此，针对该问题，提出了一种基于双峰生物特征识别系统的新生儿个人认证系统，其中，新生儿的脚印和他们母亲的指纹用于识别。通过开发要在树莓派（单板计算机）上实现的原型，可以进一步增强该概念。本文实现了在树莓派上使用OpenCV进行SIFT特征提取，RANSAC算法以匹配指纹和足迹生物特征。树莓派是ARM1176JZFS应用处理器，片上系统（SoC）称为Broadcom BCM2835。它提高了性能，消耗了更少的功率，并降低了整体系统的成本和尺寸。树莓派由Debian Linux的修改版本控制，该版本针对ARM体系结构进行了优化。图像识别是在Linux平台上使用CMake，g ++，makefile使用开放源代码OpenCV-2.4.9执行的。因此，所提出的系统改善了医院/分娩中心的安全系统，并为新生儿交换提供了低成本的解决方案，而不是昂贵的DNA程序。在本文中，讨论了硬件作为生物识别模块在硬件上进行的研究工作，以增强独立设备的性能。

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