A study on the automatic recognition system of medicinal plants

Author

Gao, Liwen ; Lin, Xiaohua

Author_Institution

Coll. of Inf. Technol., Guangzhou Univ. of Chinese Med., Guangzhou, China

fYear

2012

fDate

21-23 April 2012

Firstpage

101

Lastpage

103

Abstract

China covers a vast territory, with a wide range of plants spreading throughout the country. It is never easy to accurately identify the species of one certain plant or its medicinal features. This paper studied and has achieved an automatic recognition system of medicinal plants. With the leaf image recognition of medicinal plants as its core, the system involves the up-to-date technologies of image processing and neural network. The system has boosted the transformation of medicinal plant recognition from manual basis to semi-automation. It is good for overcoming the subjectivity of human beings and has accelerated the recognition, and it will be popular among a wide range of users.

Keywords

biology computing; botany; image recognition; neural nets; automatic recognition system; image processing; leaf image recognition; medicinal plant recognition transformation; neural network; Biomedical imaging; Character recognition; Educational institutions; Feature extraction; Image recognition; Training; automatic recognition; image processing; medicinal plant; neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4577-1414-6

Type

conf

DOI

10.1109/CECNet.2012.6201425

Filename

6201425