Dynamic Recursive Point Pattern Matching Algorithm for CBIR

This program recognizes the Hand Gestures of American Sign Language. Previously, it was vastly used for Hand Gesture Recognition projects.

This dynamic recursive algorithm is designed for Content Based Image Retrieval and Generic Object Recognition systems.

MK-RoD stands for Matched Keypoints' Ratio of Distances and it is a recursive and dynamic point pattern similarity measure algorithm which works in conjunction with Keypoint Generation algorithms

For demonstration purposes, this program recognizes the Hand Gestures of American Sign Language (ASL) input/queryt images by comparing it with the database images and outputs the equivalent ASCII representation of it. This program can be used as a basis for Hand Gesture Recognition and Generic Object Recognition projects.

Keypoint Features are generated by using SIFT. SIFT is the main Keypoint Feature generation algorithm of this program. Other Keypoint Feature generation algorithms can be used in this program as well. Such as SURF.

The details are given inside the zip file on separate explanatory algorithm diagrams and every .m file is documented in detail.
Open the 'Readme.txt' in order to learn how to execute the program.