In this work, the problem of fine-grained identification of pharmaceutical products is addressed. A large database of images of pharma packages acquired by modern mobile phones was created. The contribution of this thesis encompasses the development of 2 different approaches based on local descriptors and the investigation of the identification performance of these methods. Moreover, our contribution entails the setup and creation of a new database of images suitable for testing fine-grained recognition algorithms, which we hope can benefit to the computer vision community.