Citation
Tee, Elok Robert and Selvanathan, N.
(1996)
Enhancing the personal identification number input as a means of identification signature.
Malaysian Journal of Computer Science, 9 (1).
pp. 37-41.
ISSN 0127-9084
Abstract
The process of typing the personal identification number (PIN) can be broken down into quantifiable components, such as latency time, keypress force, keypress duration and keypress displacement which can be evaluated and used to verify the identity of a person. The keypress pattern is called the PIN signature. As the PIN signature is like the written signature that differs slightly with every execution, a neural-fuzzy application is devised to verify the PIN signature input against the reference profile.
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Official URL or Download Paper: http://e-journal.um.edu.my/publish/MJCS/130-144#
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Universiti Pertanian Malaysia |
| Publisher: | Faculty of Computer Science and Information Technology, University of Malaya |
| Keywords: | Artificial neural networks; Fuzzy logic; PIN; PIN signature |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 13 Apr 2016 03:43 |
| Last Modified: | 13 Apr 2016 03:43 |
| URI: | http://psasir.upm.edu.my/id/eprint/42361 |
| Statistic Details: | View Download Statistic |
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