Multi-loss Function in Robust Convolutional Autoencoder for Reconstruction Low-quality Fingerprint Image

Our research is fingerprint reconstruction based on a convolutional autoencoder. We combine the perceptual measurement as a multi-loss function to give satisfactory weight correction, such as the structural similarity index measure (SSIM), Mean Absolute Error (MAE), and peak signal-to-noise ratio (P...

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Bibliographic Details

Published in:	Proceedings ... Asia-Pacific Signal and Information Processing Association Annual Summit and Conference APSIPA ASC ... (Online) pp. 428 - 431
Main Authors:	Raswa, Farchan Hakim, Halberd, Franki, Harjoko, Agus, Wahyono, Lee, Chung-Ting, Li, Yung-Hui, Wang, Jia Ching
Format:	Conference Proceeding
Language:	English
Published:	Asia-Pacific of Signal and Information Processing Association (APSIPA) 07.11.2022
Subjects:	convolution autoencoder fingerprint Fingerprint recognition Image matching Image quality loss function Measurement uncertainty Propagation losses PSNR reconstruction Weight measurement
ISSN:	2640-0103
Online Access:	Get full text
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