Applied Implementation of a Biometric Identification System Based on Anthropometric Features

In this paper, the focus is placed on the practical implementation of an identification system that integrates anthropometric principles with dactyloscopy. The goal is to demonstrate how theoretical foundations can be translated into a functional device that utilizes hardware components such as the Fingerprint 2 Click and Fever Click sensors, supported by the STM32 microcontroller platform and software based on FreeRTOS and Python. The system is capable of detecting a live user based on body temperature and matching fingerprint data against a local database, achieving reliable and fast identification.