Recognition of leaf images based on shape features using a hypersphere classifier

Authors:
Xiao-Feng Wang;Ji-Xiang Du;Guo-Jun Zhang
Affiliations:
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei;Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei;Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei
Venue:
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Year:
2005

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Abstract

Recognizing plant leaves has so far been an important and difficult task. This paper introduces a method of recognizing leaf images based on shape features using a hypersphere classifier. Firstly, we apply image segmentation to the leaf images. Then we extract eight geometric features including rectangularity, circularity, eccentricity, etc, and seven moment invariants for classification. Finally we propose using a moving center hypersphere classifier to address these shape features. As a result there are more than 20 classes of plant leaves successfully classified. The average correct recognition rate is up to 92.2 percent.