Rank: 1417 based on 91 downloads (last 30 days) and 1 file submitted
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Pavan Bhat

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Company/University
Mumbai University
Lat/Long
19.12891960144043, 72.82730865478516

Personal Profile:

I graduated in Electronics & Telecommunications Engineering from Atharva College Of Engineering in Mumbai University. This page contains my work most of which were realised during academic courses as a part of my BE project, others were designed for personal pleasure. I like this website full of innovative solutions and nicely implemented code. So, would also contribute my share as other implementations on the file exchange helped me and my group to complete and design our project.


 

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Files Posted by Pavan Bhat
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(last 30 days)
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21 Jul 2011 Screenshot Face Recognition System Using Kekre Transform This code will provide you with feature extraction using Kekre Transform for Face Recognition. Author: Pavan Bhat image processing, face, face recognition syst..., face detection, bio metrics, system identification 91 1
  • 3.0
3.0 | 2 ratings
Comments and Ratings by Pavan Bhat
Updated File Comments Rating
21 Jul 2011 Face Recognition System Using Kekre Transform This code will provide you with feature extraction using Kekre Transform for Face Recognition. Author: Pavan Bhat

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.

Comments and Ratings on Pavan Bhat's Files View all
Updated File Comment by Comments Rating
08 Oct 2011 Face Recognition System Using Kekre Transform This code will provide you with feature extraction using Kekre Transform for Face Recognition. Author: Pavan Bhat Mr Smart

28 Jul 2011 Face Recognition System Using Kekre Transform This code will provide you with feature extraction using Kekre Transform for Face Recognition. Author: Pavan Bhat Navaneethakrishnan.V.M Naveen

21 Jul 2011 Face Recognition System Using Kekre Transform This code will provide you with feature extraction using Kekre Transform for Face Recognition. Author: Pavan Bhat Pavan Bhat

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.

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