Forged Signature Distinction Using Convolutional Neural Network for Feature Extraction

Forged Signature Distinction Using Convolutional Neural Network for Feature Extraction

This paper proposes a dynamic verification scheme for finger-drawn signatures in smartphones. As a dynamic feature, the movement of a smartphone is recorded with accelerometer sensors in the smartphone, in addition to the moving coordinates of the signature. To extract high-level longitudinal and to...

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Bibliographic Details
Main Authors: Seungsoo Nam, Hosung Park, Changho Seo, Daeseon Choi
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Applied Sciences
Subjects:
dynamic signature
convolution neural network
autoencoder neural network
skilled forgery
biometric
Online Access:http://www.mdpi.com/2076-3417/8/2/153

Internet

http://www.mdpi.com/2076-3417/8/2/153

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