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Transactions of the Institute of Measurement and Control
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Computer-Aided Plant Species Identification (CAPSI) Based on Leaf Shape Matching Technique

Ji-Xiang Du

Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China, Department of Automation, University of Science and Technology of China

De-Shuang Huang

Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China, dshuang{at}iim.ac.cn

Xiao-Feng Wang

Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China

Xiao Gu

Intelligent Computing Lab, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China

In this paper, an efficient computer-aided plant species identification (CAPSI) approach is proposed, which is based on plant leaf images using a shape matching technique. Firstly, a Douglas - Peucker approximation algorithm is adopted to the original leaf shapes and a new shape representation is used to form the sequence of invariant attributes. Then a modified dynamic programming (MDP) algorithm for shape matching is proposed for the plant leaf recognition. Finally, the superiority of our proposed method over traditional approaches to plant species identification is demonstrated by experiment. The experimental result showed that our proposed algorithm for leaf shape matching is very suitable for the recognition of not only intact but also partial, distorted and overlapped plant leaves due to its robustness.

Key Words: dynamic programming • leaf-image database • plant species identification • shape matching

Transactions of the Institute of Measurement and Control, Vol. 28, No. 3, 275-285 (2006)
DOI: 10.1191/0142331206tim176oa
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