Abstract
Fingerprint recognition refers to the process of identifying or confirming the identity of an individual by comparing two fingerprints. Fingerprint recognition is one of the most researched and reliable biometric techniques for identification and authentication. Any system which uses image processing techniques to automatically perform the process of obtaining, storing, analyzing, and matching of a fingerprint with another fingerprint and generating the match is called Automatic Fingerprint Identification System (AFIS). It is a system which takes a fingerprint and picks the most likely matches from millions of fingerprint images stored in the database. With the growth in technology, many algorithms and methods have been proposed so far to automatically match the fingerprints without any human interference or assistance.
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Wani, M.A., Bhat, F.A., Afzal, S., Khan, A.I. (2020). Supervised Deep Learning in Fingerprint Recognition. In: Advances in Deep Learning. Studies in Big Data, vol 57. Springer, Singapore. https://doi.org/10.1007/978-981-13-6794-6_7
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DOI: https://doi.org/10.1007/978-981-13-6794-6_7
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