A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients

Authors

  • Keiji Yanai The University of Electro-Communications, Tokyo
  • Takuma Maruyama
  • Yoshiyuki Kawano

DOI:

https://doi.org/10.3991/ijim.v8i2.3623

Keywords:

cooking recipe recommendation, food ingredients, object recognition, smartphone application

Abstract


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.

Downloads

Published

2014-04-05

How to Cite

Yanai, K., Maruyama, T., & Kawano, Y. (2014). A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients. International Journal of Interactive Mobile Technologies (iJIM), 8(2), pp. 28–34. https://doi.org/10.3991/ijim.v8i2.3623

Issue

Section

Papers