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A Self-Monitoring Approach For Nutritional Assessment By Image Recognition Using Android App
Sushma B,  Nagaveni B Biradar
Measuring of food values through photo has become a challenging task for the people especially during a large meal. Food mainly depends upon cuisines, cooking style and lack of food knowledge about the food item. However, the contextual knowledge can be crucial to improve recognition in such a scenario. For this purpose we a using a new algorithm by using its size, shape, color and texture characteristics to know respected nutritional and calorie values which are shown whenever the image of the food item is clicked. Thus it helps to focus on food image taken in social context, which helps in providing automatic annotation and retrieval of nutritional and calorie values for particular food.
Keywords- Food Recognition, Image Recognition, Calorie Estimation, Nutritional Values Estimation.
Unique Identification Number - IJEDR1902082Page Number(s) - 430-433Pubished in - Volume 7 | Issue 2 | June 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Sushma B,  Nagaveni B Biradar,   "A Self-Monitoring Approach For Nutritional Assessment By Image Recognition Using Android App"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 2, pp.430-433, June 2019, Available at :http://www.ijedr.org/papers/IJEDR1902082.pdf