A Cooking Recipe Recommendation System with Visual Recognition of Food Ingredients

Keiji Yanai, Takuma Maruyama, Yoshiyuki Kawano


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.


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

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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