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- W1569059273 abstract "Fingerprint classification is a technique that used for supporting of speed in fingeprint identification. Large databases of fingerprint is one of difficult problem in fingerprint research area. The more classes of fingerprint will be increased speed of fingeprint identification process. This paper will be explain results of our reseach in fingerprint classification using Region Partition Method to create sub-classes from existent classes (Left Loop, Right Loop, Twin Loop dan Whorl). Fingerprint data has been taken from NIST databases with 30 sample for each class, total sample is 120 sample. There are three stages that are used in this research: 1) segmentation; 2) Orientation Estimate; and 3) Region Partition. The results is gained new sub-classes where Twin Loop class have many sub-classes than others." @default.
- W1569059273 created "2016-06-24" @default.
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- W1569059273 date "2010-01-01" @default.
- W1569059273 modified "2023-09-27" @default.
- W1569059273 title "Fingerprint Classification Using Region Partition" @default.
- W1569059273 hasPublicationYear "2010" @default.
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