Title
A Leaf Recognition Algorithm For Plant Classification Using Probabilistic Neural Network
Abstract
In this paper, we employ Probabilistic Neural Network (PNN) with image and data processing techniques to implement a general purpose automated leaf recognition for plant classification. 12 leaf features are extracted and orthogonalized into 5 principal variables which consist the input vector of the PNN. The PNN is trained by 1800 leaves to classify 32 kinds of plants with an accuracy greater than 90%. Compared with other approaches, our algorithm is an accurate artificial intelligence approach which is fast in execution and easy in implementation.
Year
DOI
Venue
2007
10.1109/ISSPIT.2007.4458016
2007 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1-3
Keywords
Field
DocType
Probabilistic Neural Network, feature extraction, leaf recognition, plant classification
Data processing,Computer science,Artificial intelligence,Artificial neural network,Contextual image classification,Pattern recognition,Algorithm,Feature extraction,Probabilistic neural network,Machine learning,Principal component analysis,Plant identification,Cognitive neuroscience of visual object recognition
Journal
Volume
Citations 
PageRank 
abs/0707.4
114
5.15
References 
Authors
10
6
Search Limit
100114
Name
Order
Citations
PageRank
Stephen Gang Wu11145.15
Sheng Bao221526.77
Eric You Xu31145.15
Yu-Xuan Wang465032.68
Yi-Fan Chang51618.35
Qiao-Liang Xiang624913.28