Handwriting: Feature Correlation Analysis for Biometric Hashes

Autor: Ralf Steinmetz, Claus Vielhauer
Jazyk: angličtina
Rok vydání: 2004
Předmět:
Zdroj: EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 4, Pp 542-558 (2004)
Druh dokumentu: article
ISSN: 16876172
1687-6172
1687-6180
DOI: 10.1155/S1110865704309248
Popis: In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category based on behavioral biometrics of handwriting, the biometric hash. Our interest is to investigate to which degree each of the underlying feature parameters contributes to the overall intrapersonal stability and interpersonal value space. We will briefly discuss related work in feature evaluation and introduce a new methodology based on three components: the intrapersonal scatter (deviation), the interpersonal entropy, and the correlation between both measures. Evaluation of the technique is presented based on two data sets of different size. The method presented will allow determination of effects of parameterization of the biometric system, estimation of value space boundaries, and comparison with other feature selection approaches.
Databáze: Directory of Open Access Journals
Externí odkaz: