Plant Identification Using Leaf Image Analysis
Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018
6 Pages Posted: 8 May 2018
Date Written: April 29, 2018
Plant identification is a vital task in areas such as medicine, botany and food sector. Leaves also play an essential role in plant species recognition. However, plant identification becomes more challenging in case of leaves with the complicated background having interferences and overlapping. In this paper, an efficient approach is proposed for classification of leaf images with a complicated background. In the proposed approach, firstly, a saliency detection method is used to segment leaf images from a complicated background. Then, morphological and texture features are extracted from the region of interest. Finally, a multilevel classification is used for Leaf recognition. The experimental results are validated with an accuracy of 94%.
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