Visible to the public Successes and Failures in Exploring Biometric Algorithms in NIST Open Source Software and Data

TitleSuccesses and Failures in Exploring Biometric Algorithms in NIST Open Source Software and Data
Publication TypeConference Paper
Year of Publication2020
AuthorsRazaque, A., Amsaad, F., Almiani, M., Gulsezim, D., Almahameed, M. A., Al-Dmour, A., Khan, M. J., Ganda, R.
Conference Name2020 Seventh International Conference on Software Defined Systems (SDS)
Date PublishedApril 2020
ISBN Number978-1-7281-7219-4
Keywordsauthentication, authorisation, Bio-metric, biometric algorithms, biometric authentication method, biometric data, biometrics (access control), BIOS, cryptography, cryptosystem, fingerprint, Fingerprint recognition, fuzzy vault, Human Behavior, Identification, internal open source utilities, Iris, Iris recognition, Metrics, multifactor, multimodal, NIST, NIST open source software, open-source software, password-driven methods, pubcrawl, public domain software, recognition, resilience, Resiliency, Scalability, secure approaches, security, Software, test data, Unibiometric analysis, user authentication methods

With the emergence of advanced technology, the user authentication methods have also been improved. Authenticating the user, several secure and efficient approaches have been introduced, but the biometric authentication method is considered much safer as compared to password-driven methods. In this paper, we explore the risks, concerns, and methods by installing well-known open-source software used in Unibiometric analysis by the partners of The National Institute of Standards and Technology (NIST). Not only are the algorithms used all open source but it comes with test data and several internal open source utilities necessary to process biometric data.

Citation Keyrazaque_successes_2020