Deep Region of Interest and Feature Extraction Models for Palmprint Verification Using Convolutional Neural Networks Transfer Learning

Deep Region of Interest and Feature Extraction Models for Palmprint Verification Using Convolutional Neural Networks Transfer Learning

Palmprint verification is one of the most significant and popular approaches for personal authentication due to its high accuracy and efficiency. Using deep region of interest (ROI) and feature extraction models for palmprint verification, a novel approach is proposed where convolutional neural netw...

Full description

Bibliographic Details
Main Authors: Mahdieh Izadpanahkakhk, Seyyed Mohammad Razavi, Mehran Taghipour-Gorjikolaie, Seyyed Hamid Zahiri, Aurelio Uncini
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Applied Sciences
Subjects:
region of interest extraction
palm print verification
deep learning
convolutional neural network
transfer learning
feature extraction
Online Access:http://www.mdpi.com/2076-3417/8/7/1210

Internet

http://www.mdpi.com/2076-3417/8/7/1210

Similar Items