Kristiana, Dyan (2016) Pengembangan Learning Management System Di SMK 4 LPPM RI Padalarang. Diploma thesis, Universitas Komputer Indonesia.
Full text not available from this repository.Abstract
Cats are popular animals kept current. Cats breed like feral cats or domestic cats that dominate while the number of purebred cat is only 1% worldwide, so prices tend to be expensive purebred cat. The number of races cat that is about 32 cats are recognized internationally. Each race has a special characteristic, but because of the frequent occurrence of interbreeding, the original determination of race cats can be difficult and confusing people who want to buy a cat or a person who wants to know the types of cats. Many detection methods in the construction of images, one of which is currently most developed is the Viola-Jones. Viola-Jones method relative to get results quickly, accurately, and efficiently. In this method there are several algorithms that are used as Haar-like is used to detect faces. While the cat is used to classify races Local Binary Pattern histograms (LBPH) to classify the features combined with the histogram. LBPH has a simple calculation and is suitable to be implemented on android devices. Based on testing it was concluded that the Viola-Jones method, and Local Binary Pattern histograms (LBPH) can detection and identification are implemented on the cat race. With the test results showed the detection using the Viola-Jones produces an average of 46% and the success of the detection test results using LBPH produce an average 75% success. And maximum performed detection on the area brightly lit. Keywords: Image Detection, Cats, Android, Viola-Jones, LBPH
Item Type: | Thesis (Diploma) |
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Uncontrolled Keywords: | Indexing Content, Preprocessing, Learning Managemen Sistem |
Subjects: | S1-Final Project > Fakultas Teknik Dan Ilmu Komputer > Teknik Informatika > 2014 |
Divisions: | Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer > Teknik Informatika (S1) |
Depositing User: | Admin Repository |
Date Deposited: | 16 Nov 2016 07:35 |
Last Modified: | 16 Nov 2016 07:35 |
URI: | http://repository.unikom.ac.id/id/eprint/451 |
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