Finger Vein Verification Algorithm Based on Fully Convolutional Neural Network and Conditional Random Field

Owing to the complexity of finger vein patterns in shape and spatial dependence, the existing methods suffer from an inability to obtain accurate and stable finger vein features. This paper, so as to compensate this defect, proposes an end-to-end model to extract vein textures through integrating th...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE access Vol. 8; pp. 65402 - 65419
Main Authors:	Zeng, Junying, Wang, Fan, Deng, Jianxiang, Qin, Chuanbo, Zhai, Yikui, Gan, Junying, Piuri, Vincenzo
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Artificial neural networks Back propagation networks Complexity Conditional random fields Convolution Convolutional neural networks CRF FCN Feature extraction finger-vein verification Formability Image segmentation Neural networks Recurrent neural networks Training U-Net Veins Veins & arteries Verification
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!