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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Liu, J., Zhang, S., Liu, J. (2009). A Method of Plant Leaf Recognition Based on Locally Linear Embedding and Moving Center Hypersphere Classifier. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_69
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DOI: https://doi.org/10.1007/978-3-642-04020-7_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04019-1
Online ISBN: 978-3-642-04020-7
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