Plant leaf identification is an important and challenging issue in botany and image analysis.
This is because leaves of the same class exhibit very large differences, and leaves of …

Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …

Soybean cultivar recognition plays a vital role in cultivar evaluation, selection and
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …

Fine-grained leaf image retrieval (FGLIR) aims to search similar leaf images in subspecies
level which involves very high interclass visual similarity and accordingly poses great …

Plants can be seen everywhere in daily life and are closely connected with our lives. The
recognition and classification of plants are of great significance to ecological and …

In this paper, we propose an effective composite descriptor combining contour and
appearance features for plant species identification. The composite descriptor uses two …

Presently, for the identification and classification of images, various deep learning
techniques are being used. In these techniques, the whole image is considered to produce …

Shape recognition is an active research topic in the field of computer vision and graphic
computing. Nevertheless, existing methods are still poor in accuracy and efficiency in some …

Current existing methods are either not very discriminative or too complex. In this work, an
effective and very simple plant recognition method is proposed. The main innovations of our …

A fast shape recognition method based on regular graphic is proposed in this paper. It is the
Interior Distance Ratio to a regular Shape (minimum bounding rectangle (MBR) or minimum …