Tree leaves identification system based on Android mobile phone

In order to accurately and efficiently identify tree leaves, a tree leaves identification system based on Android mobile phone is proposed in this paper. 13 feature descriptors are extracted, and support vector machine (SVM) is selected as the classifier. The system includes image acquisition, image processing, feature extraction, classification and result display. 1 500 leaves from 15 tree species are used in this experiment. The results are compared with the controlled group, whose classifier is back propagation neural network (BPNN). It shows that SVM identification rate is 94.44%, BPNN identification rate is 91.56%. Besides, SVM is more efficient than BPNN. The performance of this system is satisfactory, but feature descriptors and classification algorithm are required to be optimized.