An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification

An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification

Latent fingerprint identification is one of the leading forensic activities to clarify criminal acts. However, its computational cost hinders the rapid decision making in the identification of an individual when large databases are involved. To reduce the search time used to generate the fingerprint...

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Bibliographic Details
Main Authors: Ismay Perez-Sanchez, Barbara Cervantes, Miguel Angel Medina-Perez, Raul Monroy, Octavio Loyola-Gonzalez, Salvador Garcia, Francisco Herrera
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fingerprint indexing
latent fingerprint
K-means clustering
minutia cylinder code
Online Access:https://ieeexplore.ieee.org/document/9454296/

Internet

https://ieeexplore.ieee.org/document/9454296/

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