• DOI:10.1006/ijhc.1995.1061
• Corpus ID: 206564985

Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions

@article{Mahar1995OptimizingDB,
  title={Optimizing digraph-latency based biometric typist verification systems: inter and intra typist differences in digraph latency distributions},
  author={Doug Mahar and Renee Napier and Michael Wagner and William Laverty and Ron Henderson and Michael Hiron},
  journal={Int. J. Hum. Comput. Stud.},
  year={1995},
  volume={43},
  pages={579-592}
}

• D. Mahar, Renee Napier, +3 authors Michael Hiron
• Published 30 October 1995
• Computer Science
• Int. J. Hum. Comput. Stud.

Umphress and Williams have shown that individual differences in digraph latency may provide a means of accurately verifying the identity of computer users. The present research refined this technique by exploring inter and intra subject differences in digraph latency distributions. Experiment 1 showed that there is marked heterogeneity in the latency with which individual subjects type different digraphs. Consequently, it was found that typist verification accuracy improved when a digraph-specific index of the distance between test and reference digraph latencies was employed. Experiment 1 also showed the utility of nonlinear modelling as a tool to establish optimum verification parameter settings. Experiment 2 showed that the use of a common low-pass temporal filter cutoff setting for all typists when screening digraphs is unwise. It was found that there is a significant interaction between subjects and filter settings such that verification accuracy may improve if subject-specific filter settings are used.