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.
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Updated 4 May 2020

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.

Cite As

Caglar Arslan (2024). Dynamic Recursive Point Pattern Matching Algorithm for CBIR (https://github.com/arslancaglar/mkrod), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.1.0.5

Summary updated.

1.1.0.4

Summary updated.

1.1.0.3

Summary is updated.

1.1.0.2

Description is updated.

1.1.0.1

Program description is updated.

1.1.0.0

Title, summary and tags sections are updated

1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.