Abstract Online Signature Verification (OSV) techniques have been deployed in production systems for decades, yet training the model for efficient classification of the test signature …
In this work, an approach for online signature verification based on writer specific features and classifier is investigated. Existing models for online signatures are generally writer …
This work focusses on exploitation of the notion of writer dependent parameters for online signature verification. Writer dependent parameters namely features, decision threshold and …
Online signature verification (OSV) is one of the most challenging tasks in writer identification and digital forensics. Owing to large intra-individual variability, there is a critical …
Online Signature Verification (OSV) is a widely used biometric feature for recognized and authorized technique to authenticate a writers's distinctiveness and behavioral …
Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral characteristic verification in digital forensics. In this manuscript, owing to large intra …
Online Signature Verification (OSV) is a pattern recognition problem, which involves analysis of discrete-time signals of signature samples to classify them as genuine or forgery …
This work focuses on the proposal of a method for Off-line signature verification based on selecting writer-dependent global Features. 150 Global features of different categories …
SA Angadi, VC Kagawade - 2017 International conference on …, 2017 - ieeexplore.ieee.org
This paper presents a novel approach for iris recognition through symbolic modeling and symbolic similarity analysis of iris features, which are transformed using Savitzky-Golay filter …