Principal Component Analysis based Human Face Recognition using MATLAB

Humans have been using physical characteristics such as face, voice, etc. to recognize each other for thousands of years. With new advances in technology, biometrics has become an emerging technology for recognizing individuals using their biological traits. Now, biometrics is becoming part of day to day life, where in a person is recognized by his/her personal biological characteristics like DNA, Finger print, Iris Scan, Speech, Face etc. Here particular attention is given to face recognition. Face recognition refers to an automated process of matching facial images. Here we have done the face recognition in MATLAB by creating our own database of images. Face recognition is successfully done on colour as well as on gray images. The Principal Component Analysis (PCA) algorithm also called eigenface or eigenvalues and eigenvector based approach is used for face recognition.