Ashwaq Waleed Abdulameer - Department of computer engineering, RAZI University, Kermanshah, Iran
Abdolah Chalechale - Department of computer engineering, RAZI University, Kermanshah, Iran

Camera phones and other mobile devices can easily capture a scene, but processing the image to inform its contentsand describe the scene requires efficient object recognition and identification. In an effort to augment reality of a potential virtual museum guide, this article presents an efficient method to identify a painting centered on a cameraphone digital image. The extracted features are the Scale Invariant Feature Transform (SIFT) and Speed Up Robust Features (SURF). To assess the proposed method, one database of Iraqi National museum and Free drawing exhibition in Ministry of culture and media in Baghdad is utilized. The experimental results verify reasonably good performance

Recognition Image, Augmented Reality, SIFT, SURF