A method of plant leaf recognition based on locally linear embedding and moving center hypersphere classifier

Authors:
Jing Liu;Shanwen Zhang;Jiandu Liu
Affiliations:
The Science Institute, Air-Force Engineering University, Xi' an, China;Zhongyuan University of Technology, Zhengzhou, P.R. China;Missile Institute, Air-Force Engineering University, Sanyuan, P.R.
Venue:
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

Citing 2
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Abstract

This paper introduces a approach of plant leaf recognition. The classifier moving center hypersphere classifier is adopted for its classification validity. The features of plant leaf are extracted and processed by locally linear embedding to form the input vector of the classifier. The experimental results indicate that our algorithm is workable with the average correct recognition rate is up to 92 percent. Compared with other methods, this algorithm is fast in execution, efficient in recognition and easy in implementation. Future work is under consideration to improve it.