Estado del arte de registros biométricos estáticos usados para autenticar la identidad de una persona

Abstract

This academic paper investigates the state of the art of static biometric records used for the authentication of a person's identity. At present, recognition methods: facial, iris, knuckles, fingerprints and finger veins, focus their study on different segmentation strategies to achieve greater accuracy of coincidence, which is not enough in the face of the growing challenges of attacks suffered by each of them. New algorithms that aim to make authentication systems more robust need to be investigated. Using systematic mapping methodology and literature review, several alternatives for accurate person recognition were found. Ocular and fingerprint biometrics are the most promising due to user acceptance, since they are less invasive at the time of sampling, with a better behavior and significantly improved results. Finger vein biometrics showed 98.7% accuracy through QDA (Quadratic discriminant analysis) and ocular biometrics revealed 94% effectiveness.