Beyond Biometrics

Egon van den Broek

    Research output: Contribution to journalArticleAcademicpeer-review

    2 Citations (Scopus)
    61 Downloads (Pure)


    Throughout the last 40 years, the essence of automated identification of users has remained the same. In this article, a new class of biometrics is proposed that is founded on processing biosignals, as opposed to images. After a brief introduction on biometrics, biosignals are discussed, including their advantages, disadvantages, and guidelines for obtaining them. This new class of biometrics increases biometrics’ robustness and enables cross validation. Next, biosignals’ use is illustrated by two biosignal-based biometrics: voice identification and handwriting recognition. Additionally, the concept of a digital human model is introduced. Last, some issues will be touched upon that will arise when biosignal-based biometrics are brought to practice.
    Original languageEnglish
    Pages (from-to)2511-2519
    Number of pages9
    JournalProcedia computer science
    Issue number1
    Publication statusPublished - May 2010
    Event10th International Conference on Computational Science, ICCS 2010 - University of Amsterdam, Amsterdam, Netherlands
    Duration: 31 May 20102 Jun 2010
    Conference number: 10


    • EWI-18225
    • HMI-CI: Computational Intelligence
    • HMI-IE: Information Engineering
    • Digital human model
    • Biosignal processing
    • Validation
    • METIS-277416
    • IR-72473
    • Biometrics
    • Robustness


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