In this paper, we analyzed the relationship between wood Eigen textures and the human perception. First, we developed a database of one hundred wood textures. Then, through our experiment that was designed based on the Fleming's subjective experiment (Journal of Vision, 2013), nine types of perceptual quality scores were assigned to each texture. The perceptual qualities are glossiness, transparency, colorfulness, roughness, hardness, coldness, fragility, naturalness, and prettiness. Second, we statically analyzed the one hundred wood textures using the principal component analysis (PCA). The PCA bases of the wood texture database are called "wood Eigen textures." Finally, we obtained correlation coefficients between weights of wood Eigen textures and perceptual quality scores. Our results showed the first wood Eigen texture (the first principal component) was correlated with the perceptual qualities of "glossiness" and "coldness." The second one was correlated with the perceptual qualities of "coldness" and "colorfulness." Based on the analysis, we demonstrate a texture generation technique for arbitrary perceptual qualities.