Gender Recognition using PCA and LDA with Improve Preprocessing and Classification Technique
Penulis/Author
REZA FERIZAL (1); Dr.Eng. Ir. Sunu Wibirama, S.T., M.Eng., IPM. (2); Ir. Noor Akhmad Setiawan, S.T., M.T., Ph.D., IPM. (3)
Tanggal/Date
2017
Kata Kunci/Keyword
Abstrak/Abstract
This paper explains the gender recognition system
through a human facial image by using the basic method of
Principal Component Analysis (PCA) combined with Linear
Discriminant Analysis (LDA). PCA+LDA method performance
can be improved by improvising the preprocessing techniques
such as resizing the image, equalizing the histogram, and
removing the variation of the image background by adding oval
masking face. Furthermore, in classification process, using 9
nearest neighbors gives the better recognition accuracy rather
than using only 1 nearest neighbor. The highest accuracy results
obtained with the proposed method is superior to get 89.70%
when compared to the PCA + LDA method without adding
masking face, which only reached 84.16%.
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
31 Similarity Gender Recognition using PCA and LDA with Improve Preprocessing and Classification Technique.pdf
Cek Similarity
2
30 Gender Recognition using PCA and LDA with Improve Preprocessing and Classification Technique.pdf
