Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction

Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction

We study the impact of minutiae errors in the performance of latent fingerprint identification systems. We perform several experiments in which we remove ground-truth minutiae from latent fingerprints and evaluate the effects on matching score and rank-<i>n</i> identification using two d...

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Bibliographic Details
Main Authors: Octavio Loyola-González, Emilio Francisco Ferreira Mehnert, Aythami Morales, Julian Fierrez, Miguel Angel Medina-Pérez, Raúl Monroy
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
latent fingerprint
identification
minutiae
biometric quality
human error
performance evaluation
Online Access:https://www.mdpi.com/2076-3417/11/9/4187

Internet

https://www.mdpi.com/2076-3417/11/9/4187

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