research-article

Food Image Recognition for Price Calculation using Convolutional Neural Network

Authors:

Norshakirah AzizAuthors Info & Claims

ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing

Pages 80 - 85

https://doi.org/10.1145/3316551.3316557

Published: 24 February 2019 Publication History

Abstract

This project is attempting to solve the issue of unfair and inconsistent food price being charged in economy rice or mixed rice that widely seen in the café of hawker stall in Malaysia. The main cause of the problem is the absence of standardized price list of the food which causes the pricing of the mixed rice remains unknown. Hence, the authors had decided to propose this project by utilizing convolutional neural network (CNN) algorithm and develop a web application to ease the vendor as well as to provide transparency to the buyer on the food price being charged. CNN model is trained to classify the different types of food. The food price will be stored in a database of the web application in order to calculate the food price with the recognized food in the machine learning model. The outcome of this project is a customized web application for Village 3 Café, UTP with a trained CNN classification model at the backend.

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Cited By

Phiphitphatphaisit SSurinta O(2024)Multi-layer adaptive spatial-temporal feature fusion network for efficient food image recognitionExpert Systems with Applications10.1016/j.eswa.2024.124834255(124834)Online publication date: Dec-2024
https://doi.org/10.1016/j.eswa.2024.124834
Dehankar ADharmik HChambhare SKohad DHingwe JDhoke K(2023)Fruit Segregation Using Deep LearningAgriculture-Centric Computation10.1007/978-3-031-43605-5_17(225-238)Online publication date: 27-Sep-2023
https://doi.org/10.1007/978-3-031-43605-5_17
Ukwuoma CZhiguang QBin Heyat MAli LAlmaspoor ZMonday H(2022)Recent Advancements in Fruit Detection and Classification Using Deep Learning TechniquesMathematical Problems in Engineering10.1155/2022/92109472022(1-29)Online publication date: 31-Jan-2022
https://doi.org/10.1155/2022/9210947
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Index Terms

Food Image Recognition for Price Calculation using Convolutional Neural Network
1. Information systems
  1. Information systems applications

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ICDSP '19: Proceedings of the 2019 3rd International Conference on Digital Signal Processing

February 2019

170 pages

ISBN:9781450362047

DOI:10.1145/3316551

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 24 February 2019

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ICDSP 2019

ICDSP 2019: 2019 3rd International Conference on Digital Signal Processing

February 24 - 26, 2019

Jeju Island, Republic of Korea

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Cited By

Phiphitphatphaisit SSurinta O(2024)Multi-layer adaptive spatial-temporal feature fusion network for efficient food image recognitionExpert Systems with Applications10.1016/j.eswa.2024.124834255(124834)Online publication date: Dec-2024
https://doi.org/10.1016/j.eswa.2024.124834
Dehankar ADharmik HChambhare SKohad DHingwe JDhoke K(2023)Fruit Segregation Using Deep LearningAgriculture-Centric Computation10.1007/978-3-031-43605-5_17(225-238)Online publication date: 27-Sep-2023
https://doi.org/10.1007/978-3-031-43605-5_17
Ukwuoma CZhiguang QBin Heyat MAli LAlmaspoor ZMonday H(2022)Recent Advancements in Fruit Detection and Classification Using Deep Learning TechniquesMathematical Problems in Engineering10.1155/2022/92109472022(1-29)Online publication date: 31-Jan-2022
https://doi.org/10.1155/2022/9210947
Abuzaid AAtia A(2022)Exploring and Classifying Beef Retail Cuts Using Transfer Learning2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)10.1109/SETIT54465.2022.9875732(461-467)Online publication date: 28-May-2022
https://doi.org/10.1109/SETIT54465.2022.9875732
Chidella NReddy NReddy NMohan MSengupta J(2022)Intelligent Billing system using Object Detection2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS)10.1109/PCEMS55161.2022.9807953(11-15)Online publication date: 6-May-2022
https://doi.org/10.1109/PCEMS55161.2022.9807953
Zheng YGao ZWang YFu Q(2020)MOOC Dropout Prediction Using FWTS-CNN Model Based on Fused Feature Weighting and Time SeriesIEEE Access10.1109/ACCESS.2020.30451578(225324-225335)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3045157

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