----------------------------------------------------------------------ABSTRACT-------------------------------------------------------------------This paper presents a novel approach in face digital image searching and matching. The given key image is converted into gray scale image and after that a matrix is computed with gray scale values of the key image. Then we are collecting the diagonal k...

Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intensity-based and edge-based comparison. Hausdorff distance has been widely used for comparing point sets or edge maps since it does not require point correspondences. In this paper, we propose a new image similarity measu...

Color based image retrieval is an important research area in digital image processing and Color is the useful property of the image. The challenging task is to find an efficient and accurate color images similar value and some limitations between two different types of image are matching such as compressed color image and RGB color image, RGB image and HSV color image, color image and 90 degree...

The absorption of the light by sea water and light scattering by small particles of underwater environment has become an obstacle of underwater vision researches with camera. It gives impact to the limitation of visibility distances camera in the sea water. The research of 3D reconstruction requires image matching technique to find out the keypoints of image pairs. SIFT is one of the image matc...

This paper describes a face recognition method based on combining two complementary matching algorithms, one is a single-image matching algorithm and the other is a sequential-image matching algorithm. The sequential-image matching algorithm distinguishes each person by using the derived features from a set of sequential images of the same person, and the derived features meaningfully correspon...