Abstract: Digital forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This study has focused on analyzing the relationship between digital cameras and the associated images. Digital image processing technology has been applied with data mining method to get images' features. Those features were trained and classified to identify the camera sources from the images. In addition, the identification features were further categorized for improvements, based on the analyses, to enhance the precision rate of the identification. This research also compared not only cameras of different brands, but also those of the same manufacturer with similar models. This research has found that the feature based approach has better performance to distinguish the camera sources among brands. Further findings are discussed and suggested for the potential limit of the identification methods in real applications.

  urltype      = {Subscription},
  url          = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1660338},
  booktitle    = {Proceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006)},
  author       = {Min-Jen Tsai and Guan-Hui Wu},
  volume       = {2},
  year         = {2006},
  title        = {Using image features to identify camera sources},