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

• Main Authors: Raswa, Farchan Hakim, Halberd, Franki, Harjoko, Agus, Wahyono, Wahyono, Lee, Chung-Ting, Wang, Jia Ching
• Format: Other NonPeerReviewed
• Language: English
• Published: Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 2022
• Subjects: Information and Computing Sciences
• Online Access: https://repository.ugm.ac.id/284285/1/169.Multi-loss_Function_in_Robust_Convolutional_Autoencoder_for_Reconstruction_Low-quality_Fingerprint_Image.pdf; https://repository.ugm.ac.id/284285/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9980345
• Institution: Universitas Gadjah Mada

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 rat...