Bag-of-Surf and Spatial Pyramid Matching for Food Recognition and Calorie Extraction
M. Aravind Kumar1, D. Naresh2, Srinivas Bachu3
1Dr. M. Aravind Kumar, Department of Engineering and Communication Engineering, GVIT College of Engineering / Bhimavaram, A.P, India.
2D. Naresh, Department of Engineering and Communication Engineering, Guru Nanak Institutions Technical Campus (Autonomous) / Hyderabad, Telangana, India.
3Dr. Srinivas Bachu, Department of Engineering and Communication Engineering, Marri Laxman Reddy Institute of Technology and Management/Dundigal, Hyderabad, Telangana, India.

Manuscript received on 17 April 2019 | Revised Manuscript received on 21 May 2019 | Manuscript published on 30 May 2019 | PP: 2204-2209 | Volume-8 Issue-1, May 2019 | Retrieval Number: A2126058119 /19©BEIESP
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Abstract: Now a days the diet control become habitat to persons all over the world. Hence, in this paper the estimation of calories from recognized food is explained using various algorithms. Basically, the main techniques for extraction of features are bag-of surf method and SPM method and also classification is based on support vector machine classification. The classification rate is about 86% and the results are examined based on the PFID dataset. This technique can also be experimented by using Android.
Index Terms: SURF, PFID, Food Recognition, Spatial Pyramid Matching, Calorie Estimation.

Scope of the Article: Pattern Recognition