A review on implementation of bimodal newborn authentication using raspberry Pi

Abstract

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.