Face Recognition Technology


Face recognition

Face Recognition Based on PCA

DCT-ANN Face Identification

Wavelet-ANN Face Recognition

Face Recognition Based on Polar Frequency Features

Face Recognition Based on FisherFaces

Face Recognition Based on Local Features

Face Recognition in Fourier Space

WebCam Face Identification

Face Recognition Based on Overlapping DCT

Face Recognition Based on Statistical Moments

Face Recognition Based on Nonlinear PCA

Face Recognition Based on Hierarchical Dimensionality Reduction

Fusion of Low-Computational Global and Local Features For Face Recognition

SVD-Based Face Recognition

Correlation Filters Face Verification

ICA Face Recognition

3D Face Recognition

Infrared Face Recognition

Octave Face Recognition

PHP Face Recognition

JAVA Face Recognition

LBP Face Recognition System

HMM Face Recognition System

NMF Face Recognition System

Face matching

Face Identification Based on CPD

GA MACE Face Verification

External resources

Advanced Source Code .Com

Neural Networks .It

Genetic Algorithms .It

Iris Recognition .It

Biometric Authentication with PHP

Click here to try PHP code
Requirements: PHP.

We have developed a server side face verification module based entirely on PHP language. Algorithm is estremely robust to expression variations and different lighting conditions. The performances of the proposed algorithm are evaluated using Facial Expression Database collected at the Advanced Multimedia Processing Lab at Carnegie Mellon University (CMU). Database consists of 13 subjects, each with 75 images. On this image dataset with the proposed algorithm we have achieved an EER equal to 3.07%.

Index Terms: PHP, source, code, face, recognition, verification, identification, system.

Release 1.0 Date 2012.04.05
Major features:
  • One-to-one (1:1) face verification
  • Fast and optimized implementation
  • High recognition rate
  • Fast and optimized implementation
  • Command-line functions
  • PHP language
  • On-line demo code available for performance evaluation

Face Recognition . It Luigi Rosa mobile +39 3207214179 luigi.rosa@tiscali.it