Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems

Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems

Latent fingerprint identification is one of the most essential identification procedures in criminal investigations. Addressing this task is challenging as (i) it requires analyzing massive databases in reasonable periods and (ii) it is commonly solved by combining different methods with very comple...

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Bibliographic Details
Main Authors: Andres J. Sanchez-Fernandez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Perez, Yvan Saeys, Francisco Herrera, Siham Tabik
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Biometrics
CUDA
fingerprint recognition
forensics
GPU
heterogeneous computing
Online Access:https://ieeexplore.ieee.org/document/9127429/

Internet

https://ieeexplore.ieee.org/document/9127429/

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