Face retrieval using image moments and genetic algorithm

Content-based image retrieval has been developed in numerous fields. This provides more active management and retrieval of images than the keyword-based method. So the content based image retrieval becomes one of the liveliest researches in the past few years. In a given set of objects, the retrieval of information suggests solutions to search for those in response to a particular description. The set of objects which can be considered are documents, images, videos, or sounds. Moments can be viewed as powerful image descriptors that capture global characteristics of an image. The magnitude of the moment coefficients is said to be invariant under geometrical transformations like rotation which makes them suitable for most of the recognition applications. This paper presents a method to retrieve a multi-view face from a large face database according to face image moments and genetic algorithm. The GA is preferred for its power and because it can be used without any specific information of the domain. The experimental results concludes that using GA gives a good performance and it decreases the average search time to (56.44 milliseconds) compared with (891.6 milliseconds) for traditional search.