Open AccessAllergen Recognition in Food Ingredients with Computer Vision
Author(s) -
Elisa Belinda Johan,
Aminuddin Rizal
Publication year - 2021
Publication title -
ultima computing/ultima computing: jurnal sistem komputer
Language(s) - English
Resource type - Journals
eISSN - 2549-4007
pISSN - 2355-3286
DOI - 10.31937/sk.v13i2.2051
Subject(s) - optical character recognition , computer science , ingredient , artificial intelligence , string searching algorithm , matching (statistics) , food allergens , food allergy , machine learning , pattern recognition (psychology) , allergy , pattern matching , food science , medicine , image (mathematics) , chemistry , pathology , immunology
The process of recognition and classification of food is very important. It can be useful for consumers who are sensitive in choosing foods that they want to consume. Considering that some food ingredients are allergens that can cause allergies for some people. This paper aims to design and build an Android-based system to detect food ingredients that can facilitate consumers in getting information about all allergens contained in the. The application is created by implementing Optical Character Recognition (OCR) algorithm and using Boyer Moore algorithm to do the word matching (string matching). The experiments were performed with trial of OCR, Boyer Moore, light sources, and technical words (uncommon words). Our experiment shows more than 90% accuracy obtained with different scenario applied.