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Yannawar, Pravin
- Leaf Features Based Plant Classification Using Artificial Neural Network
Abstract Views :305 |
PDF Views:382
Authors
Affiliations
1 Institute of Management Studies and IT, Vivekanand College Campus, Aurangabad, Maharashtra, IN
2 Department of CSIT Dr.BAMU, Auranagabad, Maharashtra, IN
3 Department of CSIT Dr.BAMU, Auranagabad, Maharashtra
1 Institute of Management Studies and IT, Vivekanand College Campus, Aurangabad, Maharashtra, IN
2 Department of CSIT Dr.BAMU, Auranagabad, Maharashtra, IN
3 Department of CSIT Dr.BAMU, Auranagabad, Maharashtra
Source
IBMRD's Journal of Management & Research, Vol 3, No 1 (2014), Pagination: 224-232Abstract
This paper presents the classification of plant leaf images with biometric features. Traditionally, the trained taxonomic perform this process by following various tasks. The taxonomic usually classify the plants based on flowering and associative phenomenon. It was found that this process was time consuming and difficult. The biometric features of plants leaf like venation make this classification easy. Leaf biometric feature are analyzed using computer based method like morphological feature analysis and artificial neural network based classifier. ANN model take input as the leaf venation morphological feature and classify them into four different species. The result of this classification based on leaf venation is achieved 96.53% accuracy in the training of the model for classification of leaves provide the 91% accuracy in testing to classify the leaf images.Keywords
Artificial Neural Network, Canny Edge Detection, K-nn Classification, Leaf Venation Pattern, Morphological Features- Plant Classification Based on Leaf Features
Abstract Views :259 |
PDF Views:141
Authors
Affiliations
1 Institute of Management Studies and IT, Aurangabad, IN
2 Department of CSIT, Dr.Babasaheb Ambedkar Marathwada University, Auranagabad, IN
1 Institute of Management Studies and IT, Aurangabad, IN
2 Department of CSIT, Dr.Babasaheb Ambedkar Marathwada University, Auranagabad, IN