期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：10189
DOI：10.15680/IJIRCCE.2017.0505247
出版社：S&S Publications
摘要：Today has a lot of categories of plants can be edge of an extinction. In daily life herbal is acting veryimportant role on individual physic maintenance. Plant classification has been broad application perception in farmingmedicine and also especially important to research of biology diversity. Nowadays, computer vision has beeneffectively useful to automatic schemes of plant classification. This paper introduces a leaf identification method usedto extract the features and more efficient identification. All features can be extracted as of digital leaf plant image. Withone exception, all features are extracted automatically. Once captured image can be pre-processed, extract the featureby color coherence vector and haralick features then sent to ANN classifier for classification. Our major enhancementis on the feature extraction also classifier.
关键词：Median filter; Color Coherence Vector; Haralick feature and ANN classifier.
