ICCCE 2019 pp 23-37 | Cite as

Literature Survey—Food Recognition and Calorie Measurement Using Image Processing and Machine Learning Techniques

  • V. Hemalatha ReddyEmail author
  • Soumya Kumari
  • Vinitha Muralidharan
  • Karan Gigoo
  • Bhushan S. Thakare
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 570)


Nowadays, with easy access to internet, food is delivered at our doorsteps just on the click of a button due to which people have started to consume higher amount of fast food. This has accelerated the chances of suffering from a chronic disease known as obesity. Since obesity has become such a widespread disease, various mobile e-health applications have been developed for assistive calorie measurement to help people fight against health-related problems. In this paper, we have surveyed different methods for food recognition and calorie measurement using various methods and compared their performances based on several factors.


Convolutional neural network (CNN) Deep learning Food recognition Machine learning (ML) 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • V. Hemalatha Reddy
    • 1
    Email author
  • Soumya Kumari
    • 1
  • Vinitha Muralidharan
    • 1
  • Karan Gigoo
    • 1
  • Bhushan S. Thakare
    • 1
  1. 1.STES’s Sinhgad Academy of EngineeringPuneIndia

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