Improving the Efficiency of Automated Latent Fingerprint Identification Using Stack of Convolutional Auto-encoder

In this paper, a method for improving the efficiency of latent fingerprint segmentation and detection system is presented. Structural detection and precise segmentation of fingerprints otherwise not visible to the naked eye (called latents), provide the basis for automatic identification of latent f...

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Bibliographic Details

Published in:	International Conference on Parallel, Distributed and Grid Computing (PDGC ...) pp. 191 - 196
Main Authors:	Chhabra, Megha, Shukla, Manoj Kumar, Ravulakollu, Kiran Kumar
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.11.2020
Subjects:	Autoencoder Convolutional neural network Classification Computational modeling Feature extraction Fingerprint recognition Image color analysis Image processing Image segmentation Latent fingerprint Load modeling Segmentation Training
ISSN:	2573-3079
Online Access:	Get full text
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