Publication:
The use of SOM for fingerprint classification

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dc.citedby8
dc.contributor.authorTurky A.M.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorid25825717300en_US
dc.contributor.authorid56036880900en_US
dc.date.accessioned2023-12-29T07:51:37Z
dc.date.available2023-12-29T07:51:37Z
dc.date.issued2010
dc.description.abstractThe use of efficient classification methods is necessary for automatic fingerprint recognition systems. This paper introduces an approach to fingerprint classification by using Self-Organizing Maps (SOM). In order to be able to deal with fingerprint images having distorted regions, the SOM learning and classification algorithms are modified. The concept of 'certainty' is introduced and used in the modified algorithms. Our experiments show improved results with increasing network sizes. A network that is trained with a sufficiently large and representative set of samples can be used as an indexing mechanism for a fingerprint database, so that it does not need to be retrained for each fingerprint added to the database. �2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5466901
dc.identifier.doi10.1109/INFRKM.2010.5466901
dc.identifier.epage290
dc.identifier.scopus2-s2.0-77953879535
dc.identifier.spage287
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77953879535&doi=10.1109%2fINFRKM.2010.5466901&partnerID=40&md5=558ea1c41c722f35fcc141b92f3c0859
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30706
dc.pagecount3
dc.sourceScopus
dc.sourcetitleProceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10
dc.subjectBiometric
dc.subjectFingerprint classification
dc.subjectSelf organizing maps
dc.subjectBiometrics
dc.subjectConformal mapping
dc.subjectImage recognition
dc.subjectInformation retrieval
dc.subjectKnowledge management
dc.subjectLearning algorithms
dc.subjectAutomatic fingerprint recognition system
dc.subjectClassification algorithm
dc.subjectClassification methods
dc.subjectFingerprint classification
dc.subjectFingerprint database
dc.subjectFingerprint images
dc.subjectIndexing mechanisms
dc.subjectModified algorithms
dc.subjectNetwork size
dc.subjectSelf organizing maps
dc.titleThe use of SOM for fingerprint classificationen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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