Computer Science Journals
Face biometric data are with high dimensional features and hence, traditional searching techniques are not applicable to retrieve them. As a consequence, it is an issue to identify a person with face data from a large pool of face database in real-time. This paper addresses this issue and proposes an indexing technique to narrow down the search space. The authors create a two level index space based on the SURF key points and divide the index space into a number of cells.