Face Recognition Algorithm using SIFT features

Version 2.0.0.0 (18.2 MB) by Behind The Sciences
Face Recognition Algorithm using SIFT features by behindthesciences.com
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Updated 12 May 2016

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Description: Face recognition algorithm that allows the detection of a test face image against a database. The algorithm uses SIFT features to extract the features from the face images. It also includes a face detection algorithm. For a full description of the code, please visit:
http://www.behindthesciences.com/coding/face-recognition-using-matlab
The code requires additional configuration files, please email us for a copy of it.
Contact us at: contact@behindthesciences.com for any queries.
www.behindthesciences.com

Cite As

Behind The Sciences (2026). Face Recognition Algorithm using SIFT features (https://se.mathworks.com/matlabcentral/fileexchange/57033-face-recognition-algorithm-using-sift-features), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Image Recognition Algorithm V2/Image Recognition Algorithm/

Image Recognition Algorithm V2/Image Recognition Algorithm/HaarCascades/

Image Recognition Algorithm V2/Image Recognition Algorithm/SubFunctions/

Version Published Release Notes
2.0.0.0

Licenses for XML file updated
1.0.0.0