文章基本信息

标题：Enhancing The Personal Identification Number Input As A Means Of Identification Signature
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作者：Elok Robert Tee ; N. Selvanathan
期刊名称：Malaysian Journal of Computer Science
印刷版ISSN：0127-9084
出版年度：1996
卷号：9
期号：1
出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：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 neuralfuzzy application is devised to verify the PIN signature input against the reference profile.
关键词：PIN; PIN signature; artificial neural networks; fuzzy logic