This package implements a well-known FLD-based face recognition method, which is called Fisherface [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample script is included to showe their usage. In general, you should follow this order: 1. Select training and test database paths. 2. Select path of the test image. 3. Run CreateDatabase function to create 2D matrix of all training images. 4. Run FisherfaceCore function to produce basis s of facespace. 5. Run Recognition function to get the name of equivalent image in training database. For your convenience, I have prepared sample training and test databases, which are parts of face94 Essex face database [2]. You just need to copy the above functions, along with the training and test databases into a specified path (for example work path of your MATLAB root). Then follow dialog boxes, which will appear upon running examp

FLD_based Face Recognition System_v2
....................................\CreateDatabase.m
....................................\example.m
....................................\FaceR





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....................................\FaceS





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....................................\FisherfaceCore.m
....................................\Readme.txt
....................................\Recognition.m

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