Identification of Fingerprints using Circular String Approximation for Mobile Devices

Oluwole Ifeanyi Ajala, Costas Iliopoulos, Md Mujibur Rahman Khan

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Lately, Biometrics has employed the use of fingerprints to identify individuals. Out of the commonly used techniques, fingerprint authentication till date, remains the most reliable. The bulk of research that has focused on fingerprint authentication, has however, neglected the issues that arise with fingerprints resulting to incorrect orientation identification. This is because it is assumed and often times wrongly, that the direction of the fingerprint will align with the stored fingerprint image. This singular issue poses tension in fingerprint matching, which only a negligible number of techniques have considered. As computers and mobile devices adopt fingerprint recognition as a way to authenticate user, this apparent tension gains more popularity, becoming an integral research area which must be addressed.
Original languageEnglish
Title of host publicationCommunication Papers of the 2017 Federated Conference on Computer Science and Information Systems
Subtitle of host publicationACSIS
EditorsMaria Ganzha, Leszek Maciaszek, Marcin Paprzycki
Number of pages5
Publication statusPublished - 2017


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