This Face Recognition System uses Kekre Transform for Face recognition depicted through a GUI.This GUI depicts the face recognition system developed through feature extraction by Kekre Transform Algorithm. There are several functions that are provided using the GUI such as the view testbase and database tabs which can be used to view the folder in which the test images or the query images are stored. The Detect similar Face tab displays the result by obtaining the recognized image. Also, the Profile button can be used to display the profile of the authenticated user for identification purposes. And finally the Help tab can be used to follow the instructions and to solve any difficulty using the GUI of the Face Recognition System.
Pavan Bhat (2019). Face Recognition System Using Kekre Transform (https://www.mathworks.com/matlabcentral/fileexchange/32284-face-recognition-system-using-kekre-transform), MATLAB Central File Exchange. Retrieved .
The code could not be executed at the beginning because of the part related to the opening of the images (possible because I use Linux). There is no comment in "olc1.m" which is the main part of the code ("Face.m" is only for the GUI). It takes a while to read the code to understand it.
Nevertheless, the method works, but we must use the lowest distance for the correspondence and not the second lowest distance. Overall, it gives a better result (and more logic) if you take the lowest distance for choosing the image for the match. The loop made at the end of the code "olcl1.m" is also useless.
Quite complex to use!
Hi Pavan Bhat I need to direct me how I can run the code Face Recognition System Using Kekre Transform I still cannot run it ok
how did the images get processed for the kekre transform classification? how can i use my own images for the same system? please can i get a response immediately trying to use the code for my own project.
im currently working on project, face recognition using sift algorithm, can you send me sift code ?
To all those who consider to use this code remember to run the code using the Face.m file as it is the main function.