Abstract
A digital image is basically formed together with metadata which describes the image such as information about the file (e.g. location captured, author, date, time and etc.), tags and keywords. These properties allow images to be stored accordingly to its categories in a database. Those images later can be retrieved from the system by running a text-based query which explained the characteristics of an image. Although retrieving by text-based query method is a common and widely used to find images in a very large database, this method however does not guarantee that the results returned is as described in searching query due to the fact that it is totally dependent on the accuracy of stated image properties. In order to improve the accuracy of the text-based retrieval method, a Content-Based Image Retrieval (CBIR) has been proposed as a complement to the standard method.
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