Applying personalized weights to a feature set for on-line signature verification

Seong Hoon Kim, Myoung Soo Park, Jaihie Kim

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

20 Citations (Scopus)

Abstract

For signature verification, there can be a large number of useful features including pen-speed, pen-pressure, etc. However, all these features may not be useful or even be harmful for a given person when not enough number of training samples are allowed. Namely, for an optimal verification, each person requires a different subset of all the possible features. Finding an optimal subset for an individual needs too much combinatorial efforts. Instead, we propose an approach using all the same features for every person by assigning a different weight to each feature according to the nature of the person's signature.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
PublisherIEEE Computer Society
Pages882-885
Number of pages4
ISBN (Electronic)0818671289
DOIs
Publication statusPublished - 1995
Event3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada
Duration: 1995 Aug 141995 Aug 16

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2
ISSN (Print)1520-5363

Conference

Conference3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country/TerritoryCanada
CityMontreal
Period95/8/1495/8/16

Bibliographical note

Publisher Copyright:
© 1995 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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