  In this work we address the problem of predicting the model of a camera based
on the content of their photographs. We use two set of features, one set
consist in properties extracted from a Discrete Wavelet Domain (DWD) obtained
by applying a 4 level Fast Wavelet Decomposition of the images, and a second
set are Local Binary Patterns (LBP) features from the after filter noise of
images. The algorithms used for classification were Logistic regression, K-NN
and Artificial Neural Networks
