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Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm

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Main Authors: Zulkifli, Husin, Ali Yeon, Md Shakaff, Prof. Dr., Abdul Halis, Abdul Aziz, Rohani, S. Mohamed Farook, Mahmad Nor, Jaafar, Assoc. Prof. Dr., Uda, Hashim, Prof. Dr., Azizi, Harun
Other Authors: zulhusin@unimap.edu.my
Format: Article
Language:English
Published: Elsevier B.V. 2013
Subjects:
Embedded portable device
Herbs leaves database
Herbs leaves recognition
Neural network algorithm
Singular Value Decomposition (SVD)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26576
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spelling my.unimap-265762013-07-11T05:42:34Z Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm Zulkifli, Husin Ali Yeon, Md Shakaff, Prof. Dr. Abdul Halis, Abdul Aziz Rohani, S. Mohamed Farook Mahmad Nor, Jaafar, Assoc. Prof. Dr. Uda, Hashim, Prof. Dr. Azizi, Harun zulhusin@unimap.edu.my Embedded portable device Herbs leaves database Herbs leaves recognition Neural network algorithm Singular Value Decomposition (SVD) Link to publisher's homepage at http://www.elsevier.com/ Herbs have been widely used in food preparation, medicine and cosmetic industry. Knowing which herbs to be used would be very critical in these applications. Nevertheless, the current way of identification and determination of the types of herbs is still being done manually and prone to human error. Designing a convenient and automatic recognition system of herbs species is essential since this will improve herb species classification efficiency. This research focus on recognition approach to the shape and texture features of the herbs leaves. It aims to realize the computerized method to classify the herbs plants in a very convenient way. Portable herb leaves recognition system through image and data processing techniques is implemented as automated herb plant classification system. It is very easy to use and inexpensive system designed especially for helping scientist in agricultural field. The proposed system employs neural networks algorithm and image processing techniques to perform recognition on twenty species of herbs. One hundred samples for each species went through the system and the recognition accuracy was at 98.9%. Most importantly the system is capable of identifying the herbs leaves species even though they are dried, wet, torn or deformed. The efficiency and effectiveness of the proposed method in recognizing and classifying the different herbs species is demonstrated by experiments. 2013-07-11T05:17:32Z 2013-07-11T05:17:32Z 2012-11 Article Computers and Electronics in Agriculture, vol. 89, 2012, pages 18–29 0168-1699 http://www.sciencedirect.com/science/article/pii/S0168169912001949 http://hdl.handle.net/123456789/26576 en Elsevier B.V.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Embedded portable device
Herbs leaves database
Herbs leaves recognition
Neural network algorithm
Singular Value Decomposition (SVD)
spellingShingle Embedded portable device
Herbs leaves database
Herbs leaves recognition
Neural network algorithm
Singular Value Decomposition (SVD)
Zulkifli, Husin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Halis, Abdul Aziz
Rohani, S. Mohamed Farook
Mahmad Nor, Jaafar, Assoc. Prof. Dr.
Uda, Hashim, Prof. Dr.
Azizi, Harun
Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
description Link to publisher's homepage at http://www.elsevier.com/
author2 zulhusin@unimap.edu.my
author_facet zulhusin@unimap.edu.my
Zulkifli, Husin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Halis, Abdul Aziz
Rohani, S. Mohamed Farook
Mahmad Nor, Jaafar, Assoc. Prof. Dr.
Uda, Hashim, Prof. Dr.
Azizi, Harun
format Article
author Zulkifli, Husin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Halis, Abdul Aziz
Rohani, S. Mohamed Farook
Mahmad Nor, Jaafar, Assoc. Prof. Dr.
Uda, Hashim, Prof. Dr.
Azizi, Harun
author_sort Zulkifli, Husin
title Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
title_short Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
title_full Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
title_fullStr Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
title_full_unstemmed Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
title_sort embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
publisher Elsevier B.V.
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26576
_version_ 1643794991852552192
score 13.222552

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