Using handcrafted features in CNN
A CNN automatically extracts features, so hand-crafting features has become unnecessary for most applications.  It learns what features to extract via backpropagation.

You can introduce handcrafted features in a few ways to boost the performance of a CNN:


inject hand-crafted features into the fully connected layer
feed the CNN output into another classifier alongside the hand-crafted features


This paper explores such concepts.