Whorl identification in flower

Abstract

In this paper a novel approach for identification of whorl part of flowers useful for flower classification is presented. The problem is challenging because of the sheer variety of flower classes, intra-class variability, variation within a particular flower, and variability of imaging conditions like lighting, pose, foreshortening etc. A flower image is segmented using color information obtained using HYPE's color specifier. To identify the whorl of flowers the Gabor response of the segmented flower image is extracted and based on the Gabor response we present a method of identifying the whorl part of the flower. For experimentation we have created our own dataset of 20 classes of flowers each with 20 samples. To study the efficiency of the proposed method we have compared the obtained results with the results provided by two human experts and the results are more encouraging.