Aiming at the difficult problem of plant leaf recognition on the large-scale database, a two-
stage local similarity based classification learning (LSCL) method is proposed by combining …

Plant recognition is one of important research areas of pattern recognition. As plant leaves
are extremely irregular, complex and diverse, many existing plant classification and …

Based on locally linear embedding (LLE) and modified maximizing margin criterion
(MMMC), a modified locally linear discriminant embedding (MLLDE) algorithm is proposed …

Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for
environmental protection. So, it is important and urgent to recognize and classify plant …

The label propagation has the benefits of nearly-linear running time and easy
implementation. In this paper, we make use of the label propagation to propose a new …

Automatic plant identification via computer vision techniques has been greatly important for
a number of professionals, such as environmental protectors, land managers, and foresters …

In this paper, a hierarchical multi-task structural learning algorithm is developed to support
large-scale plant species identification, where a visual tree is constructed for organizing …

Plant plays an important role in agricultural, industrial, medicine, environmental and
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …

In this paper, we extract our proposed RSC features from leaf images and use SVM classifier
to implement an automated leaf recognition system for plant leaf identification and …

Automatic species identification has many advantages over traditional species identification.
Currently, most plant automatic identification methods focus on the features of leaf shape …