FAST IMAGE MATCHING IN HUGE DATABASE

In today’s multimedia age, images are becoming more and more common in various fields. Database is an area that has found extensive use of images in past few years. With the increased usage of image data, the need to search and matching images efficiently and accurately from a large image database or a cluster of images databases has increased. Image search has become a popular feature in many search engines, including Google, Yahoo!, MSN, etc., majority of which use very little, if any, image information. In this study we introduced a novel algorithm for searching for image in huge database based on SVD, the proposed algorithm solved some of the other searching algorithms problems, like problems of image scaling, image rotation, search time. The contribution of this algorithm is to retrieve the exact image and/or the image with different view or captured in different time with fixed time regardless the database size, database can be indexed according to the Suggested Values extracted from SVD. The proposed algorithm gives high performance and solved many issues related to other image search algorithms.