Kernel descriptor based plant leaf identification

Plant identification is an interesting and challenging research topic due to the variety of plant species. Among different part of the plant, leaf is widely used for plant identification because it is usually the most abundant type of data available in botanical reference collections and the easiest to obtain in the field studies. A number of works have been done for plant leaf identification. However, it is far from user expectation. In this paper, we propose a new plant leaf identification based on kernel descriptor (KDES). KDES is recently proposed by Bo et al. This is proved to be robust for different object recognition problem. In this paper, once again, the experimental results obtained on two plant leaf datasets show that this approach outperforms the state of the art.