Intelligent sensor for image control point of eigenface for face recognition

Sensors for Image control point in Face recognition (FR) is one of the most active research areas in computer vision and pattern recognition. Its practical application includes forensic identification, access control and human computer interface. The research aimed at comparing an input face image against a database containing a set of face samples with known identity and identifying the subject to which the input face belongs. To attain these objectives, we have used several images combined by image registration to improve eigenface recognition. Sensor detection by head orientation for image control point of the training sets collected in a database is also discussed. The methodological approach used to analyze eigenface focused on three fundamental points; Generating Eigenfaces, Classification and Identification using Image processing toolbox to perform the matrix calculations. The results obtained showed that the performance of the proposed technique proved to be less affected by registration errors and the quality of image was successfully.