@inproceedings{scholars12162,
            year = {2019},
           pages = {80--85},
         journal = {ACM International Conference Proceeding Series},
       publisher = {Association for Computing Machinery},
             doi = {10.1145/3316551.3316557},
          volume = {Part F},
            note = {cited By 4; Conference of 3rd International Conference on Digital Signal Processing, ICDSP 2019 ; Conference Date: 24 February 2019 Through 26 February 2019; Conference Code:147955},
           title = {Food Image Recognition for Price Calculation using Convolutional Neural Network},
        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 caf{\~A}{\copyright}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 Caf{\~A}{\copyright}, UTP with a trained CNN classification model at the backend. {\^A}{\copyright} 2019 Association for Computing Machinery.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066039557&doi=10.1145\%2f3316551.3316557&partnerID=40&md5=43e13f585c4f531697ca3ac68096d28a},
        keywords = {Convolution; Digital signal processing; Economics; Image recognition; Learning systems; Machine learning, Classification models; CNN models; Food image; Food prices; Machine learning models; Malaysia; WEB application, Convolutional neural networks},
            isbn = {9781450362047},
          author = {Nordin, M. J. and Aziz, N. and Xin, O. W.}
}