Efficient and Automated Herbs Classification Approach Based on Shape and Texture Features using Deep Learning

Efficient and Automated Herbs Classification Approach Based on Shape and Texture Features using Deep Learning

Recognizing the desired herb among thousands of herbs is an exhausting and time-consuming practice. Hence, herbs identification via a vision system is beneficial since the pharmacist and botanic need not to collect them through traditional ways. Thus, this paper proposed an efficient and automatic c...

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Bibliographic Details
Main Authors: Amgad Muneer, Suliman Mohamed Fati
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Herbs classification
machine learning
feature extraction
GLCM technique
support vector machine
deep neural networks
Online Access:https://ieeexplore.ieee.org/document/9239938/

Internet

https://ieeexplore.ieee.org/document/9239938/

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