A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients

A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients

cooking recipe recommendation

food ingredients

object recognition

smartphone application

In this paper, we propose a cooking recipe recommendation system which runs on a consumer smartphone as an interactive mobile application. The proposed system employs real-time visual object recognition of food ingredients, and recommends cooking recipes related to the recognized food ingredients. Because of visual recognition, by only pointing a built-in camera on a smartphone to food ingredients, a user can get to know a related cooking recipes instantly. The objective of the proposed system is to assist people who cook to decide a cooking recipe at grocery stores or at a kitchen. In the current implementation, the system can recognize 30 kinds of food ingredient in 0.15 seconds, and it has achieved the 83.93% recognition rate within the top six candidates. By the user study, we confirmed the effectiveness of the proposed system.

Yanai, Keiji

Maruyama, Takuma

Kawano, Yoshiyuki

International Journal of Interactive Mobile Technologies (iJIM); Vol. 8 No. 2 (2014); pp. 28-34

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2014-04-05

Copyright (c) 2017 Keiji Yanai, Takuma Maruyama, Yoshiyuki Kawano

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article