Embedded portable device for herb leaves recognition using image processing techniques and neural network algorithm
Link to publisher's homepage at http://www.elsevier.com/
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2013
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/26576 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-26576 |
|---|---|
| record_format |
dspace |
| 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 |