Multi-Biometric System
Chiffriller Gabriel, dos Reis Caroline Santos, Chris George, Subah Sachdeva, Leigh Anne Clevenger, John Vincent Monaco · 2013
The 2008 federal Higher Education Opportunity Act requires institutions of higher learning to make greater access control efforts for the purposes of assuring that students of record are those actually accessing the systems and taking exams in online courses by adopting identification technologies as they become more ubiquitous. Previously, keyboard input and mouse movement data have to be analyzed to authenticate the computer users. Stylometry is added to the result in a combination of three biometric. The keystroke feature data can be availed by executing the keystroke feature extractor. These data are passed as input to the ‘parser’ program to get output in text form. These text form output is then fed as input to the stylometry feature extractor. The mouse feature data can be availed by executing the mouse feature extractor. The output obtained from execution of all the three feature extractors are then combined by executing the ‘assembler’ program, to form the multi-biometric feature data records on which the performance is then measured.