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Face recognition using L1 norm minimization

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Face recognition using L1 norm minimization

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08 Jan 2012 (Updated )

This code uses L1 norm minimization classifier to recognize faces.

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Description

Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley. The database used is MIT-CBCL and YaleB database which was got from http://cbcl.mit.edu/software-datasets/heisele/facerecognition-database.html and http://cvc.yale.edu/projects/yalefacesB/yalefacesB.html.

Required Products MATLAB
MATLAB release MATLAB 7.11 (R2010b)
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Comments and Ratings (9)
12 Dec 2012 sasikala mr

thanks dear

14 Nov 2012 Islam  
28 Jun 2012 Neeraj

The low success rate is because I am doing no Preprocessing for orientation and illumination correction for this database. If you implement a good preprocessing algorithm the success rate should increase. And having used the L2 norm as a classifier for an earlier project using MIT-CBCL database personally I felt the L1 norm gives a better performance (73% to 90%).

28 Jun 2012 Li

Success rate in percentage is-(for Yale dataset)

ans =

58.8163

It is too low. Is the problem the choosing of "L1 Norm Minimization"?You choose '\'.

Thank you.

18 Jan 2012 raghu methre

Thanks

12 Jan 2012 chipo josé

thank you very match

12 Jan 2012 Neeraj

Added the databases to the package

11 Jan 2012 chipo josé

hi
Can u please give us the database
thanks

11 Jan 2012 raghu methre

Can u please give us the database?

Updates
11 Jan 2012

I have added the databases to the zipped package along with the code. Only the paths have to be updated and this code should work.

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