Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44080
Title: Automatic recognition of leaves by shape detection pre-processing with ica
Authors: Solé-Casals, Jordi
Travieso, Carlos M. 
Ferrer, Miguel A. 
Alonso, Jesús B. 
Briceflo, Juan Carlos
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Pattern Recognition, Artificial Neural Networks, Independent Component Analysis, Leaves Recognition, Parameterization
Issue Date: 2009
Journal: BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing
Conference: 2nd International Conference on Bio-Inspired Systems and Signal Processing 
2nd International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2009 
Abstract: In this work we present a simulation of a recognition process with perimeter characterization of a simple plant leaves as a unique discriminating parameter. Data coding allowing for independence of leaves size and orientation may penalize performance recognition for some varieties. Border description sequences are then used to characterize the leaves. Independent Component Analysis (ICA) is then applied in order to study which is the best number of components to be considered for the classification task, implemented by means of an Artificial Neural Network (ANN). Obtained results with ICA as a pre-processing tool are satisfactory, and compared with some references our system improves the recognition success up to 80.8% depending on the number of considered independent components.
URI: http://hdl.handle.net/10553/44080
ISBN: 9789898111654
Source: BIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing, p. 462-467
Appears in Collections:Actas de congresos
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