Nowadays, the rise of social networks and the continuous storage of large of information are topical issue. But the main problem is not the storage itself, is the ability to process most of this information, so that it is not stored in vain. In this way, using the shared images within the scope of social networks, possible relationships between users could be identified. From this idea arises the present work, which focuses on identifying similar images even if they have been modified (applying color filters, rotations or even watermarks). The solution involves preprocessing to eliminate possible filters and then apply hashing techniques, just to obtain hashes that are unique for each image and allow the comparison of an abstract but effective way for the user.