Abstract
Fingerprint technology has evolved immensely since its initial use in the 1800s when it was used solely to assist with crime investigations. It is now used as a convenience replacing passwords and PIN numbers from logging into bank accounts, mobile devices, gaining access into rooms and various other processes where time plays a key factor. This chapter focuses on how fingerprint technology can be used to improve speed and accuracy of certain processes, i.e. exams as the society accepts this as part of everyday life. In particular, we look at a use case in an educational setting where youngsters are much used to digital technologies as part of their daily life.
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Glossary
- Circumvention
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An unauthorised user gaining access illegitimately to the system and data, i.e. by spoofing method.
- Collectability
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How easy it is to acquire fingerprints. In some environments where users would pose issues, i.e. washing hands or worn fingers, more expensive means might be used to acquire a useable fingerprint image.
- Filtering
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Removing unnecessary noise in an image during preprocessing stage to help enhance quality of an image.
- Threshold
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Biometric match threshold refers to a point at which it becomes reasonably certain that a biometric sample matches a particular reference template.
- Feature extraction
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Built values called features derived from an initial set of measured data which is intended to be informative and nonredundant.
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Patel, R., Ramalingam, S. (2019). Advances in Fingerprint Technology. In: Obaidat, M., Traore, I., Woungang, I. (eds) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7_2
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DOI: https://doi.org/10.1007/978-3-319-98734-7_2
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