Face image retrieval method based on improved IGA and SVM

Abstract

Face image retrieval has particularity under the situation that the target is unknown. If the image that match some features or fit to the one in memory wants to be find out in the human image database, the request solution must be global optimum, and does not lose the optimal one. In this paper the interactive genetic algorithm ( IGA ) incorporating with adjust function and support vector machine ( SVM ) is put forward to keep optimum solution from lose, speed the convergence, alleviate user fatigue, improve and raise retrieval performance. © Springer-Verlag Berlin Heidelberg 2007.