Simple signature verification sub-system for identity recognition

V. Q. Tran, M. T. Chew, S. Demidenko, Y. C. Kuang, M. Ooi

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

1 Citation (Scopus)

Abstract

The paper proposes a simple, low-cost signature verification approach and software that can be employed as one of the components of a more sophisticated personal identification system. The identification is based on the use of local binary pattern features of a signature image. The Support Vector Machine (SVM) model is chosen to classify the authentic signatures from their imitations.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2017 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages94-98
Number of pages5
ISBN (Electronic)9781509042524
DOIs
Publication statusPublished - 28 Jul 2017
EventIEEE International Conference on Computational Intelligence for Measurement Systems and Applications 2017 - Annecy, France
Duration: 26 Jun 201728 Jun 2017
http://2017.civemsa.ieee-ims.org/

Conference

ConferenceIEEE International Conference on Computational Intelligence for Measurement Systems and Applications 2017
Abbreviated titleCIVEMSA 2017
Country/TerritoryFrance
CityAnnecy
Period26/06/1728/06/17
Internet address

Keywords

  • Local Binary Pattern
  • Personal Identification
  • Signature Verification
  • Support Vector Machine

Cite this