research-article

Off-line signature verification using structural features

Authors:

Sohail Zafar,

Rashid Jalal QureshiAuthors Info & Claims

FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

Article No.: 72, Pages 1 - 3

https://doi.org/10.1145/1838002.1838085

Published: 16 December 2009 Publication History

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Abstract

Biometric identification is an emerging technology that can solve the security problems in our networked society. A lot of work has been done in the field of automatic off-line signature verification. While a large portion of the work is focused on random forgery detection, more efforts are still needed to address the problem of skilled forgery detection. In this paper a novel method for signature verification is proposed. In this method, each pixel belonging to signature is studied and endpoints from the geometry of the signature are extracted. A polygonal closed shape is drawn by joining these endpoints. Various structural features from the shape including parameter, area, minimum enclosing rectangle, rectangularity measure, and circularity measure and form factors are computed. These features were combined to build a verification function, which is evaluated using statistical procedures.

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Cited By

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Jan ZMuhammad HRafiq MZada N(2015)An Automated System for Offline Signature Verification and Identification Using Delaunay TriangulationNew Contributions in Information Systems and Technologies10.1007/978-3-319-16486-1_64(653-663)Online publication date: 2015
https://doi.org/10.1007/978-3-319-16486-1_64

Index Terms

Off-line signature verification using structural features
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics
    1. Image manipulation
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Published In

FIT '09: Proceedings of the 7th International Conference on Frontiers of Information Technology

December 2009

446 pages

ISBN:9781605586427

DOI:10.1145/1838002

Conference Chair:
Sajjad Ahmad Madani
COMSATS Institute of Information Technology, Pakistan

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAI: ACM Special Interest Group on Artificial Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 December 2009

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FIT '09

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FIT '09: 7th International Conference on Frontiers of Information Technology

December 16 - 18, 2009

Abbottabad, Pakistan

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Jan ZMuhammad HRafiq MZada N(2015)An Automated System for Offline Signature Verification and Identification Using Delaunay TriangulationNew Contributions in Information Systems and Technologies10.1007/978-3-319-16486-1_64(653-663)Online publication date: 2015
https://doi.org/10.1007/978-3-319-16486-1_64

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Hindi Off-Line Signature Verification

Dynamics features Extraction for on-Line Signature verification

Off-line signature verification systems: a survey