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

Seong Hoon Kim; Myoung Soo Park; Jaihie Kim

doi:10.1109/ICDAR.1995.602042

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

Seong Hoon Kim, Myoung Soo Park, Jaihie Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Publisher	IEEE Computer Society
Pages	882-885
Number of pages	4
ISBN (Electronic)	0818671289
DOIs	https://doi.org/10.1109/ICDAR.1995.602042
Publication status	Published - 1995
Event	3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada Duration: 1995 Aug 14 → 1995 Aug 16

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2
ISSN (Print)	1520-5363

Conference

Conference	3rd International Conference on Document Analysis and Recognition, ICDAR 1995
Country/Territory	Canada
City	Montreal
Period	95/8/14 → 95/8/16

Bibliographical note

Publisher Copyright:
© 1995 IEEE.

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.1995.602042

Cite this

Kim, S. H., Park, M. S., & Kim, J. (1995). Applying personalized weights to a feature set for on-line signature verification. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 (pp. 882-885). Article 602042 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1995.602042

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title = "Applying personalized weights to a feature set for on-line signature verification",

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.",

author = "Kim, {Seong Hoon} and Park, {Myoung Soo} and Jaihie Kim",

note = "Publisher Copyright: {\textcopyright} 1995 IEEE.; 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 ; Conference date: 14-08-1995 Through 16-08-1995",

year = "1995",

doi = "10.1109/ICDAR.1995.602042",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

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Kim, SH, Park, MS & Kim, J 1995, Applying personalized weights to a feature set for on-line signature verification. in Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995., 602042, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2, IEEE Computer Society, pp. 882-885, 3rd International Conference on Document Analysis and Recognition, ICDAR 1995, Montreal, Canada, 95/8/14. https://doi.org/10.1109/ICDAR.1995.602042

Applying personalized weights to a feature set for on-line signature verification. / Kim, Seong Hoon; Park, Myoung Soo; Kim, Jaihie.
Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society, 1995. p. 882-885 602042 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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BT - Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995

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Kim SH, Park MS, Kim J. Applying personalized weights to a feature set for on-line signature verification. In Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995. IEEE Computer Society. 1995. p. 882-885. 602042. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.1995.602042

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

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

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