Leaf Features Based Plant Classification Using Artificial Neural Network
DOI:
https://doi.org/10.17697/ibmrd/2014/v3i1/46730Keywords:
Artificial Neural Network, Canny Edge Detection, K-nn Classification, Leaf Venation Pattern, Morphological FeaturesAbstract
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.Downloads
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Ehsanirad, “Plant classification based on leaf recognition,†International Journal of Computer Science and Information Security, vol. 8, no. 4, pp. 78–81, 2010.
D. Knight, J. Painter, and M. Potter, “Automatic plant leaf classification for a mobile field guide†,Stanford,Tech. Rep., 2010.
J. S. Cope, P. Remagnino, S. Barman, and P. Wilkin, “Plant texture classification using gabor co-occurrences,†inProceedings of the 6th international conference on Advances in visual computing - Volume Part II, ser. ISVC’10. Berlin, Heidelberg: Springer-Verlag, 2010, pp. 669– 677.
K. Singh, I. Gupta, and S. Gupta, “Svm-bdt pnn and fourier moment technique for classification of leaf shape,†International Journal of Signal Processing, Image Processing and Pattern Recognition, pp. 67– 78, 2010.
Madhusmita Swain, Sanjit Kumar Dash, Sweta Dash and Ayeskanta Mohapatra, “An approach for iris plant classification using neural network†International Journal on Soft Computing ( IJSC ) Vol.3, No.1, February 2012
Madhusmita Swain, Sanjit Kumar Dash, Sweta Dash and Ayeskanta Mohapatra, “An approach for iris plant classification using neural networkâ€, International Journal on Soft Computing ( IJSC ) Vol.3, No.1, February 2012
Manisha Amlekar, R.R Manza, Pravin Yannawar, “Leaf classification based on leaf dimension biometric features of leaf shape using k-means classifier †NCAC, Jalgoan, 2013
Manisha Amlekar, R.R Manza, Pravin Yannawar, , B.P. Gaikwad, “Image data mining for classifying leaf dimension biometric features of leaf shape using KNN classification technique †, CMS, Aurangabad,2013
P. Tzionas, S. E. Papadakis, and D. Manolakis, “Plant leaves classification bassed on morphological features and a fuzzy surface selection technique,†2005.
S. Prasad, K. M. Kudiri, and R. C. Tripathi, “Relative sub-image based features for leaf recognition using support vector machine,†in Proceedings of the 2011 International Conference on Communication, Computing Security, ser. ICCCS ’11. New York, NY, USA: ACM,2011, pp. 343–346.
S. R. Deokar P. H. Zope S. R. Suralkar, “ Leaf Recognition Using Feature Point Extraction and Artificial Neural Networkâ€, International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 1, January- 2013 ISSN: 2278-0181
