One-handed Keystroke Biometric Identification Competition

Author

Monaco, John V. ; Perez, Gonzalo ; Tappert, Charles C. ; Bours, Patrick ; Mondal, Soumik ; Rajkumar, Sudalai ; Morales, Aythami ; Fierrez, Julian ; Ortega-Garcia, Javier

Author_Institution

Pace Univ., New York, NY, USA

fYear

2015

fDate

19-22 May 2015

Firstpage

58

Lastpage

64

Abstract

This work presents the results of the One-handed Keystroke Biometric Identification Competition (OhKBIC), an official competition of the 8th IAPR International Conference on Biometrics (ICB). A unique keystroke biometric dataset was collected that includes freely-typed long-text samples from 64 subjects. Samples were collected to simulate normal typing behavior and the severe handicap of only being able to type with one hand. Competition participants designed classification models trained on the normally-typed samples in an attempt to classify an unlabeled dataset that consists of normally-typed and one-handed samples. Participants competed against each other to obtain the highest classification accuracies and submitted classification results through an online system similar to Kaggle. The classification results and top performing strategies are described.

Keywords

biometrics (access control); pattern classification; 8th IAPR International Conference on Biometrics; Kaggle; OhKBIC; classification models; freely-typed long-text samples; one-handed keystroke biometric identification competition; Accuracy; Authentication; Benchmark testing; Feature extraction; Keyboards; Presses; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics (ICB), 2015 International Conference on

Conference_Location

Phuket

Type

conf

DOI

10.1109/ICB.2015.7139076

Filename

7139076