  This paper proposed a method that combines Polar Fourier Transform, color
moments, and vein features to retrieve leaf images based on a leaf image. The
method is very useful to help people in recognizing foliage plants. Foliage
plants are plants that have various colors and unique patterns in the leaf.
Therefore, the colors and its patterns are information that should be counted
on in the processing of plant identification. To compare the performance of
retrieving system to other result, the experiments used Flavia dataset, which
is very popular in recognizing plants. The result shows that the method gave
better performance than PNN, SVM, and Fourier Transform. The method was also
tested using foliage plants with various colors. The accuracy was 90.80% for 50
kinds of plants.
