Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.050532
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 5, 2014.
Abstract: Identifying and recognition of herbal plant green leaves is essential in botanical study. In Thai herb leaf image recognition system used for recognition of leaves with accuracy of 93.29%, in this paper, we propose a recognition system of leaves based on the eigenvalues of Dirichlet Laplacian that used to generate three different sets of features for shape analysis and classification in binary images. First leaf images are preprocessed to remove unwanted background, converted to binary form; used to build the images database, finally Queries made on the system. The correct classification rates without noise is 100% and with noise is 90%.
Mahmoud Elgamal and Mahmoud Youness R. Alaidy, “Herbal Leave Recognition System Based on Dirichlet Laplacian Eigenvalues” International Journal of Advanced Computer Science and Applications(IJACSA), 5(5), 2014. http://dx.doi.org/10.14569/IJACSA.2014.050532