Newborn Identification using footprints: Add another line of security

Abstract

People are getting more interested in biometric identification for a variety of reasons. Identification of new born is still a great problem even in this time. Solving this problem could safeguard children from identity theft and fraud, assist in the reunification of lost children with their parents, improve border control systems in the fight against child trafficking, and help electronic document management systems The research presented in this article focuses on biometric strong authentication systems that leverage foot geometry factors. A footprint has three distinct traits that are adequate to identify a person. Different forms of qualities include shape, smoothness, and detail. We analysed the most often used geometrical features of the foot, comprising length, breadth, area, and circumference, to unique information about a person. The axes, major and minor. The categories of features include spatial, smoothness, and delicacy. To uniquely identify persons, we assessed the most often utilised morphological properties of either the foot utilising height, width, region, main pole, and equivalent diameter. Weights are assigned to each feature, highlighting its importance, and several versions of these traits are computed. We chose the best foot summaries and discovered that the province is by far the most important aspect of determining a person's foot. To improve reliability, foot contour characteristics are coupled with foot descriptions. A Gray scale image founder grids relying on Haralick properties are constructed for texturing using Classifier Model as the discriminator. In situations where people remove their shoes, such as holy sites, security checks, private pools, and leisure facilities, foot biometrics can be employed as an extra covert authentication method.