IDENTIFIKASI BIOMETRIK CITRA TELINGA MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS DAN LEARNING VECTOR QUANTIZATION
Total View This Week0

Institusion

Universitas Sriwijaya

Author

APRIAGUS, HANDI SATRIA
Muhammad Fachrurrozi (LECTURER ID : 0222058001)
Osvari Arsalan (LECTURER ID : 0028068806)

Subject

R858-859.7 Computer applications to medicine. Medical informatics 

Datestamp

2019-10-01 02:18:25 

Abstract :
Ear is one of biometric that can be used to identify someone. Ear have unique and stable structure biometric characteristic. The solution to identify someone?s ear image can be done with the computation method through software.. The computation method which is used is Learning Vector Quantization (LVQ) neural network method and Principal Component Analysis (PCA) feature extraction method. The amount of data which is used on this research is 100 ear images, consist of 50 images for left ear and 50 images for right ear. The best accuration of ear image identification are 75% on cropping testing data with learning rate 0.2 (normal grayscale) and 0.3(normal grayscale and green dominant grayscale). 

File :
RAMA_55201_09121002044_0222058001_0028068806_01_front_ref.pdf
RAMA_55201_09121002044_0222058001_0028068806_02.pdf
RAMA_55201_09121002044_0222058001_0028068806_03.pdf
RAMA_55201_09121002044_0222058001_0028068806_04.pdf
RAMA_55201_09121002044_0222058001_0028068806_05.pdf
RAMA_55201_09121002044_0222058001_0028068806_06_ref.pdf
RAMA_55201_09121002044_0222058001_0028068806_07_lamp.pdf