Camera Model Identification Using Transfer Learning

  • Mohit KulkarniEmail author
  • Shivam Kakad
  • Rahul Mehra
  • Bhavya Mehta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1101)


Wide series of forensic problems can be solved by detecting the camera model from copyright infringement to ownership attribution. There are many proposed methods for detection of the camera model. A method to identify the camera model of any image is proposed in this paper. It involved feature extraction and classification. CNN-based architectures are best suited for the task of image classification.


Camera model identification Convolutional neural networks ResNet Transfer learning 



The authors feel grateful to and they wish their profound indebtedness to their guide Prof. Milind Kamble, Department of Electronics and Telecommunication, Vishwakarma Institute of Technology, Pune. The authors also express their gratitude to Prof. Dr. R. M. Jalnekar, Director, and Prof. Dr. Shripad Bhatlawande, Head, Department of Electronics and Telecommunication, for their help in completion of the project. The authors also thank all the anonymous reviewers of this paper whose comments helped to improve the paper.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Mohit Kulkarni
    • 1
    Email author
  • Shivam Kakad
    • 1
  • Rahul Mehra
    • 1
  • Bhavya Mehta
    • 1
  1. 1.Electronics and Telecommunication DepartmentVishwakarma Institute of TechnologyPuneIndia

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