Reverse Image Search Engine
Crypt | 2019
Inspired by Google Images (Google, 2017), TinEye (TinEye, 2017) and Microsoft PhotoDNA (Microsoft, 2017), this project aims at dealing with the reverse image retrieval problem in image centered information systems. The purpose of the reverse image retrieval is to obtain images by similarity based on a query image.
The final application is a reverse image search engine that is capable of indexing a huge amount of images and then allows the user to search for other images having similar features to a given query image.