Gabor-based Face Recognition With Illumination Variation Using Subspace-Linear Discriminant Analysis

• DOI: 10.11591/telkomnika.v10i1.661
• Publication Date: 2013-02-23T13:32:32Z
• Authors: Hendra Kusuma; NFN Wirawan; Adi Soeprijanto
• Keywords: Variation (astronomy)

Although Face recognition has been an active research topic in the past few decades due to its potential applications. Accurate face is still a difficult task, especially case that illumination are unconstrained. This paper presents efficient method for of faces with different by using Gabor features, which extracted log-Gabor filters six orientations and four scales. By Using sliding window algorithm, these features at image block-regions . Extracted passed Principal Component Analysis (PCA) then Linear Discriminant (LDA). For development testing we used facial images from Yale-B databases. The proposed achieved 86 – 100 % rank 1 rate