Herb leaves pattern recognition using digital microscope and deep learning

Herb leaves are not fully exploited for their benefits due to the problem arise from difficulties in identifying the type of plants. Visual-based pattern recognition via microscopic imaging provides high precision and accuracy for identification that easily outperforms the limitations of human perce...

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Main Authors: Rahman, Muhammad Ariff Azizul, Gunawan, Teddy Surya, Kartiwi, Mira
Format: Proceeding Paper
Language:English
Published: Persatuan Saintis Muslim Malaysia (PERINTIS) 2019
Subjects:
Online Access:http://irep.iium.edu.my/78345/
http://irep.iium.edu.my/78345/13/78345%20HERB%20LEAVES%20PATTERN.pdf
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author Rahman, Muhammad Ariff Azizul
Gunawan, Teddy Surya
Kartiwi, Mira
author_facet Rahman, Muhammad Ariff Azizul
Gunawan, Teddy Surya
Kartiwi, Mira
author_sort Rahman, Muhammad Ariff Azizul
building IIUM Repository
collection Online Access
description Herb leaves are not fully exploited for their benefits due to the problem arise from difficulties in identifying the type of plants. Visual-based pattern recognition via microscopic imaging provides high precision and accuracy for identification that easily outperforms the limitations of human perception. A three-class dataset of 255 leaf vein images - betel, noni and ortosiphon stamineus, were captured by a digital microscope was constructed as a training set for a visual-based pattern recognition system. A simple visual-based pattern recognition system was constructed by using MATLAB and deep learning. Transfer learning was applied on a pretrained VGG-16 network with a validation accuracy of 91.03%. Further fine-tuning was applied on the network resulting an increase of accuracy to 98.72%.
first_indexed 2025-11-14T17:43:18Z
format Proceeding Paper
id iium-78345
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T17:43:18Z
publishDate 2019
publisher Persatuan Saintis Muslim Malaysia (PERINTIS)
recordtype eprints
repository_type Digital Repository
spelling iium-783452020-07-10T07:07:03Z http://irep.iium.edu.my/78345/ Herb leaves pattern recognition using digital microscope and deep learning Rahman, Muhammad Ariff Azizul Gunawan, Teddy Surya Kartiwi, Mira TK7885 Computer engineering Herb leaves are not fully exploited for their benefits due to the problem arise from difficulties in identifying the type of plants. Visual-based pattern recognition via microscopic imaging provides high precision and accuracy for identification that easily outperforms the limitations of human perception. A three-class dataset of 255 leaf vein images - betel, noni and ortosiphon stamineus, were captured by a digital microscope was constructed as a training set for a visual-based pattern recognition system. A simple visual-based pattern recognition system was constructed by using MATLAB and deep learning. Transfer learning was applied on a pretrained VGG-16 network with a validation accuracy of 91.03%. Further fine-tuning was applied on the network resulting an increase of accuracy to 98.72%. Persatuan Saintis Muslim Malaysia (PERINTIS) 2019 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/78345/13/78345%20HERB%20LEAVES%20PATTERN.pdf Rahman, Muhammad Ariff Azizul and Gunawan, Teddy Surya and Kartiwi, Mira (2019) Herb leaves pattern recognition using digital microscope and deep learning. In: International Conference on Universal Wellbeing (ICUW2019), 4 - 6 Dec 2019, Kuala Lumpur, Malaysia. https://drive.google.com/file/d/1SBEjdqK7UqMmqu0e5lKagPvCa1FgbVIT/view
spellingShingle TK7885 Computer engineering
Rahman, Muhammad Ariff Azizul
Gunawan, Teddy Surya
Kartiwi, Mira
Herb leaves pattern recognition using digital microscope and deep learning
title Herb leaves pattern recognition using digital microscope and deep learning
title_full Herb leaves pattern recognition using digital microscope and deep learning
title_fullStr Herb leaves pattern recognition using digital microscope and deep learning
title_full_unstemmed Herb leaves pattern recognition using digital microscope and deep learning
title_short Herb leaves pattern recognition using digital microscope and deep learning
title_sort herb leaves pattern recognition using digital microscope and deep learning
topic TK7885 Computer engineering
url http://irep.iium.edu.my/78345/
http://irep.iium.edu.my/78345/
http://irep.iium.edu.my/78345/13/78345%20HERB%20LEAVES%20PATTERN.pdf