Optimization of Fingerprint Recognition using Genetic Algorithm

Simple item page
dc.contributor.authorNwoye, E. O.
dc.contributor.authorOronti, I. B.
dc.contributor.authorChukwuma, V. M.
dc.contributor.authorNwaneri, S. C.
dc.date.accessioned2019-09-20T15:08:53Z
dc.date.available2019-09-20T15:08:53Z
dc.date.issued2012-06-01
dc.description.abstractFingerprint as a biometric identifier is one of the most reliable personal identification tools and enjoys widespread applications. In this research the Genetic Algorithm GA is used to ooptimize the alignment and matching methods in the recognition process. After the pre-processing, post processing and feature extraction, the alignment algorithm is used to first align the minutiae points and then a pair of minutiae is matched if the distance and the rotational angle between them is equal to or less than a predefine value. The GA as a search method is employed to locate optimal values of these minutiae distance s and angles and match them as applicable. The GA was then applied to the Fingerprint Verification Competition 2002 (FVC2002). Database 1 with a good performance and very high recognition rate with an attendant penalty of longer computation time which can be improved by using a faster processor. The method also performed better than all of the commonly used algorithms listed in terms of Equal Error Rate EERen_US
dc.identifier.issn0795-2333
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/5901
dc.language.isoenen_US
dc.publisherJournal of Engineering Researchen_US
dc.relation.ispartofseriesVol. 17;02
dc.subjectFingerprint recognitionen_US
dc.subjectGenetic Algorithmen_US
dc.subjectMinutiae Matchingen_US
dc.subjectFingerprint Image Enhancementen_US
dc.subjectMinutiae detectionen_US
dc.titleOptimization of Fingerprint Recognition using Genetic Algorithmen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
5_Optimization of Fingerprint Recognition using Genetic Algorithm” Journal of Engineering Research.pdf
Size:
6.3 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Biomedical Engineering- Scholarly Publications