Enhancing The Personal Identification Number Input As A Means Of Identification Signature

Malaysian Journal of Computer Science

N. Selvanathan¹  Elok Robert Tee¹ 

关键词: PIN;    PIN signature;    artificial neural networks;    fuzzy logic;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: 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 neural-fuzzy application is devised to verify the PIN signature input against the reference profile.

【 授权许可】

Unknown