Abduction of Newborn Infants using Footprint Recognition

Abstract

Identify or authenticate the person using different biometric traits. Whenever sensational crimes such as abduction of infants or baby switching occurs, need for biometric identification technique increases. For this issue here we propose a novel online newborn personal authentication system based on footprint recognition. A newborn footprint database is established to examine the performance of the system and promising experimental results demonstrate the effectiveness of the proposed system. The entire process can be implemented in software. For the software implementation, there are two steps one is image acquisition which is done by capturing the newborn footprint images using a digital camera and the other is preprocessing the obtained image which involves various stages like orientation, normalization, scale normalization, ROI extraction and recognized by ordinal code and hamming distance. These experiments were conducted on a personal computer using Matlab R2009a. This method represents a reliable, expeditious and cost efficient method for establishing probable personal identity which is thus encouraged by Federal Bureau of Investigation (FBI).