Abstract:
Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few
years because of its many applications in various domains. Face recognition
techniques can be broadly divided into three categories based on the face data
acquisition methodology: methods that operate on intensity images; those that deal
with video sequences; and those that require other sensory data such as 3D
information or infra-red imagery.
It plays a vital role in many applications including surveillance, biometrics and
security. Our system provides an end-to-end solution for face recognition; it receives
video input from a camera, detects the locations of the face(s) using the appropriate
algorithm, subsequently recognizes each face using Viola-Jones and Eigenfaces
algorithm, and outputs the results to a display.
The current implementation uses images captured using a Webcam, compares it to a
stored database. In the beginning, real-time validation of the identification of the
captured images is done using a PC-based system with algorithms.
