On Restoration of Degraded Fingerprints - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Multimedia Tools and Applications Année : 2022

On Restoration of Degraded Fingerprints

Résumé

The state-of-the-art fingerprint matching systems achieve high accuracy on good quality fingerprints. However, degraded fingerprints obtained due to poor skin conditions of subjects or fingerprints obtained around a crime scene often have noisy background and poor ridge structure. Such degraded fingerprints pose problem for the existing fingerprint recognition systems. This paper presents a fingerprint restoration model for a poor quality fingerprint that reconstructs a binarized fingerprint image with an improved ridge structure. In particular, we demonstrate the effectiveness of channel refinement in fingerprint restoration. The state-of-the-art channel refinement mechanisms, such as Squeeze and Excitation (SE) block, in general, create SEblock introduce redundancy among channel weights and degrade the performance of fingerprint enhancement models. We present a lightweight attention mechanism
Fichier principal
Vignette du fichier
mta22_channel_refinement_230112_152636.pdf (6.08 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03966796 , version 1 (31-01-2023)

Identifiants

Citer

Indu Joshi, Ayush Utkarsh, Pravendra Singh, Antitza Dantcheva, Sumantra Dutta Roy, et al.. On Restoration of Degraded Fingerprints. Multimedia Tools and Applications, 2022, 81 (24), pp.35349-35377. ⟨10.1007/s11042-021-11863-3⟩. ⟨hal-03966796⟩
15 Consultations
42 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More