The 4NSigComp2010 off-line signature verification competition: Scenario 2

Loading...
Thumbnail Image
File version
Author(s)
Blumenstein, Michael
A. Ferrer, Miguel
argas, J.
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Patrick Kellenberger

Date
2010
Size

296676 bytes

File type(s)

application/pdf

Location

Kolkata, India

License
Abstract

The objective of this competition (4NSigComp2010) is to ascertain the performance of automatic off-line signature verifiers to evaluate recent technology developments in the areas of document analysis and machine learning. The current paper focuses on the second scenario, which aims at performance evaluation of off-line signature verification systems on a newly-created large dataset that comprises genuine, simulated signatures produced by unskilled imitators or random signatures (genuine signatures from other writers). Ten systems were evaluated, and some interesting results are presented in terms of accuracy and execution time. The top ranking system attained an overall error of 8.94%. This result interestingly correlates with the top ranking accuracy achieved in a previous signature verification competition at ICDAR 2009.

Journal Title
Conference Title

12th International Conference on Frontiers in Handwriting Recognition (ICFHR 2010)

Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Item Access Status
Note
Access the data
Related item(s)
Subject

Pattern Recognition and Data Mining

Persistent link to this record
Citation