Assessment of Human Random Number Generation for Biometric Verification
| Autor: | Mohammad Mikaili, Elham Jokar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
lcsh:Medical technology
Biometrics Computer science Random number generation Biomedical Engineering Word error rate Health Informatics wavelet decomposition Computer Science (miscellaneous) Radiology Nuclear Medicine and imaging support vector machine Randomness Structure (mathematical logic) Sequence Radiological and Ultrasound Technology business.industry Pattern recognition Signature (logic) Support vector machine Approximate entropy lcsh:R855-855.5 Original Article random number generation Artificial intelligence verification biotelemetry business |
| Zdroj: | Journal of Medical Signals and Sensors Journal of Medical Signals and Sensors, Vol 2, Iss 2, Pp 82-87 (2012) Scopus-Elsevier |
| ISSN: | 2228-7477 |
| Popis: | Random number generation is one of the human abilities. It is proven that the sequence of random numbers generated by people do not follow full randomness criteria. These numbers produced by brain activity seem to be completely nonstationary. In this paper, we show that there is a distinction between the random numbers generated by different people who provide the discrimination capability, and can be used as a biometric signature. We considered these numbers as a signal, and their complexity for various time-frequency sections was calculated. Then with a proper structure of a support vector machine, we classify the features. The error rate, obtained in this study, shows high discrimination capabilities for this biometric characteristic. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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