Citation

Nor Muhammad, Nor Aziah Amirah and Lee, Chin Poo and Lim, Kian Ming and Abdul Razak, Siti Fatimah (2017) Malaysian food recognition and calorie counter application. In: 2017 IEEE 15th Student Conference on Research and Development (SCOReD), 13-14 Dec. 2017, Wilayah Persekutuan Putrajaya, Malaysia.

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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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Neural networks
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	29 Mar 2021 22:55
Last Modified:	29 Mar 2021 22:55
URII:	http://shdl.mmu.edu.my/id/eprint/7561

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