Refactoring a Keystroke Biometric System
SeethaRam Janapala, Shiladitya Roy, J. Flynn John, Luca Columbu, Joseph P. Carrozza, Robert S. Zack, Charles C. Tappert · 2010
Over the last six years Pace University’s keystroke biometric system has evolved and gone through important feature and function enhancements. This system has the ability to identify the keystroke rhythm with a high degree of accuracy believed to be unique to an individual. In this paper we describe how the keystroke biometric system was refactored in several ways to incorporate new features and enhancements, like handling larger subject and sample sizes, support strong-enrollment experiments. The system was also made more robust by implementing a common codebase, improving speed, refactoring for efficiently using memory, and improving User Interface for more convenience and better usability. Experiments were conducted to quantify the improvements.