Personalized offline signature verification using multiple HMM-classifiers and SOM-fuzzy decision fusion

Personalized offline signature verification using multiple HMM-classifiers and SOM-fuzzy decision fusion

This paper presents a user-optimized multiple classifiers approach for an offline signature verification system. Local features are extracted from a sliding window that slides across the signature images. Multiple HMM-based classifiers are used for the soft decisions, where each classifier is train...

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Bibliographic Details
Main Authors: Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Ahmad, Abdul Rahim, Shakil, Asma, Muhamed Balbed, Mustafa Agil, Wan Adnan, Wan Azizun
Format: Article
Language:English
Published: Scottish Group 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28817/
http://psasir.upm.edu.my/id/eprint/28817/1/Personalized%20offline%20signature%20verification%20using%20multiple%20HMM.pdf

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