Abstract
The determination of hashes based on biometric data is a recent topic in biometrics as it allows to handle biometric templates in a privacy manner. Two main applications are the generation of secure biometric templates and cryptographic keys. Depending on these applications, there are different requirements with regard to possible errors. On one side, authentication performance based on biometric hashes as feature representation can be measured by common biometric error rates such as EER. Thus, generated hashes for each single person have to be only similar in a certain degree. On the other side, biometric hashes for cryptographic issues have to be identical and unique for each individual, although measured data from same person differs or data from different people may be similar. Therefore, we suggest three measures to estimate the reproducibility performance of biometric hash algorithms for cryptographic applications. To prove the concept of the measures, we provide an experimental evaluation of an online handwriting based hash generation algorithm using a database of 84 users and different evaluation scenarios.
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Scheidat, T., Vielhauer, C., Dittmann, J. (2008). Advanced Studies on Reproducibility of Biometric Hashes. In: Schouten, B., Juul, N.C., Drygajlo, A., Tistarelli, M. (eds) Biometrics and Identity Management. BioID 2008. Lecture Notes in Computer Science, vol 5372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89991-4_16
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DOI: https://doi.org/10.1007/978-3-540-89991-4_16
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