@inproceedings{36618a346b3e4d5095b58eb7dff3c2f3,
title = "Leaf identification based on back propagation neural network and support vector machine",
abstract = "Identification of plants has become greater area of research as most of the plant species are at the margin of extinction. This paper proposes efficient features are extraction methods which are invariants to scaling and rotation. Invariant feature database which represents the useful data from the leaf image will be input to the Classifiers. The proposed system proposes three different supervised classification methods for classification purpose those are Na{\"i}ve Bayesian Classification, Back propagation Neural Network and Support Vector Machine. Performance of the both these three classifiers are measured and compared.",
author = "Shilpa Ankalaki and Jharna Majumdar",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 1st International Conference on Cognitive Computing and Information Processing, CCIP 2015 ; Conference date: 03-03-2015 Through 04-03-2015",
year = "2015",
month = apr,
day = "30",
doi = "10.1109/CCIP.2015.7100736",
language = "English",
series = "Proceedings - 2015 International Conference on Cognitive Computing and Information Processing, CCIP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Nagabhusan, \{T. N.\} and N. Sundararajan and Sundaram Suresh",
booktitle = "Proceedings - 2015 International Conference on Cognitive Computing and Information Processing, CCIP 2015",
address = "United States",
}