Review Article
A Survey of Keystroke Dynamics Biometrics
Table 9
Comparison between research works based on numerical inputs.
| Study | Data size | Digit length | Method | FAR (%) | FRR (%) | EER (%) | Input device |
| [24] | 7 | — | -nearest neighbor and multilayer perceptron | — | — | 78–99* | Infrared virtual num-pad | [25] | 9 | 4 | ANOVA | — | — | 2.4 | Customized num-pad | [82] | 20 | 8 | Hidden Markov model | — | — | 3.6 | Normal keyboard | [137] | 5 | 6 | Support vector machine | 0.95 | 5.6 | — | Modified keyboard | [48] | 10 | 10 | -nearest neighbor | — | — | 1 | Notebook touch pad | [26] | 30 | 4 | Euclidean distance | 15 | 0 | 10 | Modified ATM num-pad | [158] | 10 | 10 | Probabilistic neural network | — | — | 1 | Notebook touch pad | [33] | 28 | 10 | Random forest decision tree | 0.03 | 1.51 | 1 | Apple keyboard | [47] | 25 | 10 | Back propagation neural network | — | — | 94.8* | Normal keyboard | [4] | 24 | 4 | Support vector machine | — | — | 2 | Modified Microsoft keyboard |
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* Indicates performance measurement in terms of accuracy, similar but inverse to EER where value closer to 100% indicates better performance.
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