XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net

XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net

Partially defective fingerprint image (PDFI) with poor performance poses challenges to the automated fingerprint identification system (AFIS). To improve the quality and the performance rate of PDFI, it is essential to use accurate segmentation. Currently, most fingerprint image segmentations use me...

Full description

Bibliographic Details
Main Authors: Guo Chun Wan, Meng Meng Li, He Xu, Wen Hao Kang, Jin Wen Rui, Mei Song Tong
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
deep learning
fingerprint segmentation
partial defect
U-Net
attention gates
Online Access:https://www.mdpi.com/1424-8220/20/16/4473

Similar Items

Similar Items