• Dr. shubhangi D C
• Azra Ambareen

In this research, food recognition system based on the bag-of-features (BoF) model for diabetic patients is proposed to design. The extensive investigation is carried out based on the aforesaid dataset for components and parameters inside the BoF architecture to be optimal. The testing and comparative assessment of three extraction techniques based on key point, fourteen local image descriptors, two clustering techniques for visual dictionary creation and six classifiers is carried out. Also testing of fusion of descriptors and selection of feature is carried out. Furthermore, the effects of parameters such as number of key points extracted, size of descriptor and number of visual words are demonstrated.

Food recognition, Diabetic patients, BoF model, SVM, ANN, RF classifier

"Food Recognition for Diabetic Patients using Bag-of-features Model based System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.844-850, June-2018, Available :http://www.jetir.org/papers/JETIR1806371.pdf

"Food Recognition for Diabetic Patients using Bag-of-features Model based System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp844-850, June-2018, Available at : http://www.jetir.org/papers/JETIR1806371.pdf