ANIEPIL – Automatic Nutritional Information Extraction from Photographic Images of Labels

Description:

The nutritional information included in most food products provides a great insight of its composition. This information is important not only to compare the nutritional value of similar products, but also be important to know if a given food is suitable for one’s diet.

The purpose of this master thesis topic was to explore the usage of a smartphone to acquire images of labels with nutritional information and to analyse them using image processing algorithms in order to automatically extract and recognize the contained nutrition information. This information can later be used to assist people interpreting these labels.

 

Outcome:

Two use cases were considered for the ANIEPIL mobile application:

> Compare the nutritional values of two identical food products;

> Help users assess the suitability of a given food to their diet according to their personal information (anthropometric data, diseases, diet restrictions, etc.).

 

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