Abstract: As an important branch of plant automatic classification and recognition, plant leaf recognition is of great value in practical application. In view of the limitation of description methods for leaf features and the problem of low accuracy of plant leaf recognition, leaf images were used as recognition objects in this paper. An image preprocessing algorithm was proposed to ensure getting the features of leaf images accurately. In addition to the geometric features and texture features, the leaf profile was described by distance matrix and corner matrix, and the leaf could be identified more precisely by calculating the comprehensive similarity of geometric features, texture features and corner distance matrix. Experiments were performed on Flavia dataset of 960 images divided into 32 classes. Compared with other recognition methods, the method proposed in this paper achieved better recognition effect. The experimental results showed that the recognition accuracy reached 97.50% with high practicability.

Key words: leaf recognition, geometric features, texture features, corner distance matrix, comprehensive similarity