Malaysian food recognition and calorie counter application

Nor Aziah Amirah Nor Muhammad; Chin Poo Lee; Kian Ming Lim; Siti Fatimah Abdul Razak

doi:10.1109/SCORED.2017.8305442

Malaysian food recognition and calorie counter application

Nor Aziah Amirah Nor Muhammad, Chin Poo Lee, Kian Ming Lim, Siti Fatimah Abdul Razak

Multimedia University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

8 Citations (Scopus)

Abstract

A calorie counter application is being widely used by people around the world. However, the options for Malaysian food items are limited in those applications. This paper explores the idea to add auto recognition feature into a calorie counter application while identifying the challenges faced to perform recognition on Malaysian traditional food. The prototype described in this paper is able to recognize five different types of Malaysian 'kueh' or dessert. The main method of feature extraction is by generating the color histogram and an artificial neural network is used to classify the food.

Original language	English
Title of host publication	IEEE Student Conference on Research and Development
Subtitle of host publication	Inspiring Technology for Humanity, SCOReD 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	445-450
Number of pages	6
ISBN (Electronic)	9781538621264
DOIs	https://doi.org/10.1109/SCORED.2017.8305442
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	15th IEEE Student Conference on Research and Development, SCOReD 2017 - Putrajaya, Malaysia Duration: 13 Dec 2017 → 14 Dec 2017

Publication series

Name	IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings
Volume	2018-January

Conference

Conference	15th IEEE Student Conference on Research and Development, SCOReD 2017
Country/Territory	Malaysia
City	Putrajaya
Period	13/12/17 → 14/12/17

Keywords

Calorie estimation
color histogram
food image processing
Malaysian dessert recognizer
nprtool

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SCORED.2017.8305442

Cite this

Muhammad, N. A. A. N., Lee, C. P., Lim, K. M., & Razak, S. F. A. (2017). Malaysian food recognition and calorie counter application. In IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings (pp. 445-450). (IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2017.8305442

Muhammad, Nor Aziah Amirah Nor ; Lee, Chin Poo ; Lim, Kian Ming et al. / Malaysian food recognition and calorie counter application. IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 445-450 (IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings).

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title = "Malaysian food recognition and calorie counter application",

abstract = "A calorie counter application is being widely used by people around the world. However, the options for Malaysian food items are limited in those applications. This paper explores the idea to add auto recognition feature into a calorie counter application while identifying the challenges faced to perform recognition on Malaysian traditional food. The prototype described in this paper is able to recognize five different types of Malaysian 'kueh' or dessert. The main method of feature extraction is by generating the color histogram and an artificial neural network is used to classify the food.",

keywords = "Calorie estimation, color histogram, food image processing, Malaysian dessert recognizer, nprtool",

author = "Muhammad, {Nor Aziah Amirah Nor} and Lee, {Chin Poo} and Lim, {Kian Ming} and Razak, {Siti Fatimah Abdul}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th IEEE Student Conference on Research and Development, SCOReD 2017 ; Conference date: 13-12-2017 Through 14-12-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/SCORED.2017.8305442",

language = "English",

series = "IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings",

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Muhammad, NAAN, Lee, CP, Lim, KM & Razak, SFA 2017, Malaysian food recognition and calorie counter application. in IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 445-450, 15th IEEE Student Conference on Research and Development, SCOReD 2017, Putrajaya, Malaysia, 13/12/17. https://doi.org/10.1109/SCORED.2017.8305442

Malaysian food recognition and calorie counter application. / Muhammad, Nor Aziah Amirah Nor; Lee, Chin Poo; Lim, Kian Ming et al.
IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 445-450 (IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings; Vol. 2018-January).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AU - Lim, Kian Ming

AU - Razak, Siti Fatimah Abdul

PY - 2017/7/2

Y1 - 2017/7/2

N2 - A calorie counter application is being widely used by people around the world. However, the options for Malaysian food items are limited in those applications. This paper explores the idea to add auto recognition feature into a calorie counter application while identifying the challenges faced to perform recognition on Malaysian traditional food. The prototype described in this paper is able to recognize five different types of Malaysian 'kueh' or dessert. The main method of feature extraction is by generating the color histogram and an artificial neural network is used to classify the food.

AB - A calorie counter application is being widely used by people around the world. However, the options for Malaysian food items are limited in those applications. This paper explores the idea to add auto recognition feature into a calorie counter application while identifying the challenges faced to perform recognition on Malaysian traditional food. The prototype described in this paper is able to recognize five different types of Malaysian 'kueh' or dessert. The main method of feature extraction is by generating the color histogram and an artificial neural network is used to classify the food.

KW - Calorie estimation

KW - color histogram

KW - food image processing

KW - Malaysian dessert recognizer

KW - nprtool

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U2 - 10.1109/SCORED.2017.8305442

DO - 10.1109/SCORED.2017.8305442

M3 - Conference Proceeding

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T3 - IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings

SP - 445

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BT - IEEE Student Conference on Research and Development

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE Student Conference on Research and Development, SCOReD 2017

Y2 - 13 December 2017 through 14 December 2017

ER -

Muhammad NAAN, Lee CP, Lim KM, Razak SFA. Malaysian food recognition and calorie counter application. In IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 445-450. (IEEE Student Conference on Research and Development: Inspiring Technology for Humanity, SCOReD 2017 - Proceedings). doi: 10.1109/SCORED.2017.8305442

Malaysian food recognition and calorie counter application

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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