作者
Manisha Amlekar, Ramesh R Manza, Pravin Yannawar, Ashok T Gaikwad
发表日期
2014
期刊
IBMRD's Journal of Management & Research
卷号
3
期号
1
页码范围
224-232
简介
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.
引用总数
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学术搜索中的文章
M Amlekar, RR Manza, P Yannawar, AT Gaikwad - IBMRD's Journal of Management & Research, 2014