Improved random forest for feature selection in writer identification
Writer Identification (WI) is a process to determine the writer of a given handwriting sample. A handwriting sample consists of various types of features. These features are unique due to the writer’s characteristics and individuality, which challenges the identification process. Some features do no...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2015
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| Online Access: | http://eprints.utem.edu.my/id/eprint/16842/1/Improved%20Random%20Forest%20For%20Feature%20Selection%20In%20Writer%20Identification.pdf http://eprints.utem.edu.my/id/eprint/16842/2/Improved%20random%20forest%20for%20feature%20selection%20in%20writer%20identification.pdf |
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