Plants Identification by Leaf Shape using GLCM, Gabor Wavelets and PCA

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2016 by IJETT Journal
Volume-37 Number-3
Year of Publication : 2016
Authors : Akshay A Patil, K. S.Bhagat
DOI :  10.14445/22315381/IJETT-V37P222


Akshay A Patil, K. S.Bhagat"Plants Identification by Leaf Shape using GLCM, Gabor Wavelets and PCA", International Journal of Engineering Trends and Technology (IJETT), V37(3),140-143 July 2016. ISSN:2231-5381. published by seventh sense research group

Plants are essentials for life on Earth. Different species of plants can be distinguished with the help of leaf shapes, petals barks, and fruits. A digital recognition of plant species is a now a days in demand for various purposes. A new method for recognizing and identifying plants has been devised. Leaf images are pre-processed to remove noise using median filtering on different image planes separately. Gabor wavelet and Gray-Level Co-Occurrence Matrix (GLCM) texture features are used to recognize/identify leaf shape, for classification Decision Tree Classifier is used. We found improvement in results by utilizing combination of GLCM and Gabor features. Effective discriminative power is increased by dimensionality reduction with the help of Principal component analysis (PCA) and Decision tree as a classifier. This intelligent system provides accurate results within in less time by utilizing photographs of plants leaves, to identify tree species. The real time database is prepared for the experimental use. The database contains various leaves with various shapes, colours and size. Experiment is carried out with the different leaves of different classes and tested results are quite good except real time database.


[2]Akshay A Patil, K. S.Bhagat,”Plants Identification by Leaf Shape using GLCM ,Gabor Wavelets and PCA.,” (communicated and accepted) International Journal of Engineering Trends and Technology (IJETT)
[3] M. J. Dallwitz, “A general system for coding taxonomic description”. [online]. vol. 29. Available:
[4] X. Gu et al.,. Wang, “Leaf recognition based on the combination of wavelet transform and Gaussian interpolation,” ICIS, vol. 3644/2005, pp. 253-262, 2005.
[5] Abdul,K., Lukito,E.N., Adhi,S., and Santosa,P.I,. “Experiments of zernike moments for leaf identification”. Journal of Theoretical and Applied Information Technology, 41(1),pp.83-93, 2012.
[6] A. Ehsanirad and Sharath kumar Y. H., “Leaf recognition for plant classification using GLCM and PCA methods”, Oriental Journal of computer Science & Technology vol. 3(1), pp. 31-36, 2010.
[7] T.Vijayshree and A Gopal, “Database Formation for Authentication of Basil Leaf using Image processing Technique,”Gate to Computer Vision and Pattern Recognition,vol.1,no.1,pp.9-17,2015.
[8] Zheru Chi, Li Houqiang and Wang Chao, “Plant species recognition based on bark patterns using novel Gabor filter banks”,Proceedings of International Conference on Neural Networks and Signal Processing, vol. 2, pp. 1035 – 1038, 2003.
[9] R. Yusof, N.R. Rosli and M. Khalid, “Using Gabor Filters as Image Multiplier for Tropical Wood Species Recognition System”, 12th International Conference on Computer Modelling and Simulation (UKSim), pp. 289–294, 2010.
[10] Stefan Fiel and Robert Sablatnig, “Automated identification of tree species from images of the bark, leaves and needles,” 16th Computer Vision Winter Workshop Andreas Wendel, Sabine Sternig, Martin Godec (eds.) Mitterberg, Austria, February 2-4, 2011.
[11] G.Beliakov, S.James,L. Trioia,”Texture recognition by using GLCM and Various Agregation Function,” IEEE FUZZ,pp.1472- 1476, 2008.
[12] Z.Le-Qing,Z. Zhen,”Auto- classification of Insect Images Based on Color Histogram and GLCM ,” IEEE FSKD, vol.6,pp.2589-2593, 2010.
[13] M.Mustafa, M.Taib,Z.Murat, N.Hamid,” GLCM Texture classification for EEG Spectrogram Images,” IEEE IECBES, pp.373-376, 2010.
[14] R.M. Haralick, Statistical and Structural Approaches to Texture, Proc. IEEE, 67, 1979, pp.786-804.
[15] C.C. Gotlieb, and KH.E. Kreyszig, Texture Descriptors based on Co-occurrence Matrices, Computer Vision, Graphics, and Image Processing, 51, 1990, 70-86.

Plants, leaf shape, digital image processing, GLCM, Gabor wavelets, Principal component analysis, decision tree.