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ToolsBaig, Wajih Ullah, Ellahi, Waqas, Sardar, Kashif, Raza, Mohsin, Ejaz, Adeel and Ali, Kamran (2019) Empirical evaluation of fingerprints matching strategies based on minutia cylinder-code. In: 2018 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2018. 2018 International Conference on Computing, Electronic and Electrical Engineering, ICE Cube 2018 . The Institute of Electrical and Electronics Engineers (IEEE), PAK. ISBN 9781538679395
Full text not available from this repository. (Request a copy)Abstract
Fingerprint is the most useful and robust biometric technique in person identification and recognition. In this paper, various Minutia Cylindrical Codes (MCC) based fingerprint matching strategies have been discussed. There are two aspects of fingerprint biometrics that form the basis of accurate systems. The first aspect being good descriptors and the second being strong matching techniques; these two aspects are deeply coupled and have been evaluated using MCC descriptor. Different combinations of these strategies are empirically evaluated on different datasets by Biolabs. It was observed that the accuracy of matching is highly affected, given the variant strategies.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Publisher Copyright: © 2018 IEEE. |
| Uncontrolled Keywords: | afis,biometrics,local greedy search (lgs),local similarity assignment (lsa),local similarity sort (lss),matching,mcc,minutiae,normalization,relaxation,computer science applications,energy engineering and power technology,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/1700/1706 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 16 Jun 2025 10:31 |
| Last Modified: | 17 Jun 2025 06:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/99554 |
| DOI: | 10.1109/ICECUBE.2018.8611000 |
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