Multi‐task learning using GNet features and SVM classifier for signature identification

Multi‐task learning using GNet features and SVM classifier for signature identification

Abstract Signature biometrics is a widely accepted and used modality to verify the identity of an individual in many legal and financial organisations. A writer and language‐independent signature identification method that can distinguish between the genuine and forged sample irrespective of the lan...

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Bibliographic Details
Main Authors: Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
Format: Article
Language:English
Published: Hindawi-IET 2021-03-01
Series:IET Biometrics
Subjects:
support vector machines
biometrics (access control)
feature extraction
image classification
handwriting recognition
natural language processing
Online Access:https://doi.org/10.1049/bme2.12007

Internet

https://doi.org/10.1049/bme2.12007

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