Food Packaging Search Application From Text Image In Android With Deep Convolutional Neural Network (DCNN) Method. (July 2019)

• Record Type: Journal Article
• Authors: Aisyah, Siti; Nainggolan, Fransiska Susilawati; Simanjuntak, Melva; Lubis, Edi Apriyanto
• Is Part Of: Journal of physics. Volume 1230(2019)
• Publication Date: 2019-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1230/1/012078
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Search Application Info on Food Packaging with Image Input based on Android is one application that can make it easier for users to see a description of the ingredients on food packaging. This application uses the Deep Convolutional Neural Network (DCNN) method which is able to show outstanding performance in the field of image recognition, especially in the field of character recognition, because DCNN has a performance capable of extracting high-level features. Detailed information on food packaging is usually written on food packaging with a small font size that makes it difficult for consumers to read it, and on food packaging there is also no selling price of the product. This makes it difficult for consumers who only want to know the information and prices of these food products. A method is needed to get a text version of the food packaging brand image and to become a search keyword on the food information service site. In this report, we will examine digital image processing especially in the field of pattern recognition to analyze the titles contained in food packaging in real time. This research will utilize smartphone cameras that are used to detect objects specifically for food packaging to see the price, composition, brand, net weight and description of the food packaging based on the food packaging detected.