Abstract:
Many applications need methods for handling missing or insufficient data. This paper applies a correlation technique to improve the fallback methods previously used to ha...Show MoreMetadata
Abstract:
Many applications need methods for handling missing or insufficient data. This paper applies a correlation technique to improve the fallback methods previously used to handle the paucity of keystroke data from the infrequently used keys in a keystroke biometric system. The proposed statistical fallback model uses a correlation based fallback table based on the linear correlation between pairs of keys. Two large long-text keystroke databases are used in the study - one to construct the model and the other to evaluate system performance as a function of sample length.
Published in: 2nd International Workshop on Biometrics and Forensics
Date of Conference: 27-28 March 2014
Date Added to IEEE Xplore: 02 October 2014
Electronic ISBN:978-1-4799-4370-8