Abstract: Identifying and recognition of herbal plant green leaves is essential in botanical study. In[8] 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[4]. 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

@article{Elgamal2014,
title = {Herbal Leave Recognition System Based on Dirichlet Laplacian Eigenvalues},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2014.050532},
url = {http://dx.doi.org/10.14569/IJACSA.2014.050532},
year = {2014},
publisher = {The Science and Information Organization},
volume = {5},
number = {5},
author = {Mahmoud Elgamal and Mahmoud Youness R. Alaidy}
}