Intelligent pressure-based typing biometrics system

Simple item page
dc.contributor.authorDahalan, Azweeda
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorLai, Weng K.
dc.contributor.authorIsmail, Ahmad F.
dc.date.accessioned2019-08-14T15:16:43Z
dc.date.available2019-08-14T15:16:43Z
dc.date.issued2004-09-20
dc.description.abstractThe design and development of a real-time enhanced password security system, based on the analysis of habitual typing rhythms of individuals, is discussed in this paper. The paper examines the use of force exerted on the keyboard and time latency between keystrokes to create typing patterns for individual users. Pressure signals which are taken from the sensors underneath the keypad are extracted accordingly. These are then used to recognize authentic users and reject imposters. An experimental setup has been developed to capture the pressure signal information of the users’ typing rhythm. Neuro-fuzzy system is employed as the classifier to measure the user’s typing pattern using the Adaptive Neural Fuzzy Inference System toolbox (ANFIS) in MATLAB.en_US
dc.identifier.citationDahalan, A., Salami, M. E., Lai, W. K., & Ismail, A. F. (2004, September). Intelligent pressure-based typing biometrics system. In International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (pp. 294-304). Springer, Berlin, Heidelberg.en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/506
dc.language.isoenen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.subjectIntelligent Pressure-Baseden_US
dc.subjectTyping Biometrics Systemen_US
dc.titleIntelligent pressure-based typing biometrics systemen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Intelligent pressure-based typing biometrics system.pdf
Size:
313.15 KB
Format:
Adobe Portable Document Format
Description:
Article full-text
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Articles