Used Neural Networks - DCT for Face Identification for Windows?


Editors’ Review

Download.com staff
This Matlab source code implements DCT to reduce face image redundancy. Optimized coefficients are fed into a backpropagation neural network for fast, high-accuracy face identification. It achieves high recognition with minimal coefficients.
  • Pros

    • Reduces image information redundancy using DCT.
    • Preserves essential facial features with few coefficients.
    • Achieves high face recognition rates.
    • Utilizes backpropagation neural networks for classification.
    • Offers significantly faster face recognition.
  • Cons

    • Requires Matlab Image Processing Toolbox.
    • Requires Matlab Neural Network Toolbox.

Used Neural Networks - DCT for Face Identification for Windows?


Explore More


Full Specifications

GENERAL
Release
Latest update
Version
1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows NT
  • Windows 95
  • Windows 2000
  • Windows XP
  • Windows 98
  • Windows ME
  • Windows 3
  • Windows 10
Additional Requirements
Windows 3.x/95/98/Me/NT/2000/XP/2003 Server, Matlab Image Processing Neural Network Toolboxes
POPULARITY
Total Downloads
1,517
Downloads Last Week
0

Report Software

Last Updated


Developer’s Description

Minimize image information redundancy to avoid inefficiencies.

Download.com
Your review for Neural Networks - DCT for Face Identification