A SEMINAR PRESENTATION ONFACE RECOGNITION SYSTEM
Submitted by
Himanshu Vats
B.Tech VIII Sem
Computer Science
TOPICS OF DISCUSSION
What is Face Recognition System.. Why face recognition? What is difficult about face recognition? How is face recognition done? Other face recognition algorithms Future of face recognition
WHAT IS FACE RECOGNITION SYSTEM?
Face Recognition system is an face matching system ..which is generally used in to encrypt the password .
WHY FACE RECOGNITION? Security
Fight terrorism Personal information access
ATM Home access (no keys or passwords)
man-machine interaction Beauty search
WHAT IS DIFFICULT ABOUT FACE RECOGNITION??
Lighting variation Orientation variation (face angle) Size variation Large database
GENERAL IMAGE TYPES
Still image (digital photograph) Digital camera
Dynamic image Video camera
GENERAL FACE RECOGNITION STEPS
Face Detection Face Normalization Face Identification
FACE DETECTION
In General Locate face in
a given image Separate it
from the scene
Different Approaches
• Motion detecting and head tracking
• “Face Space” distance
FACE NORMALIZATION
Adjustment Expression Rotation Lighting Scale Eye location
FACE IDENTIFICATION
Application of a face recognition algorithm
PCA ALGORITHMS`
Principle Component Analysis Look at the principal components of the
distribution of faces, or the eigenvectors of the covariance matrix of the set of face images
EIGENFACES ALGORITHM
Eigenfaces Initialization
1. Acquire an initial set of face images (the training set)
PARAMETER BASED FACIAL RECOGNITION Facial image is analyzed and reduced to
small set of parameters describing prominent facial features
Major features analyzed are: eyes, nose, mouth and cheekbone curvature
These features are then matched to a database
Advantage: recognition task is not very expensive
Disadvantage: the image processing required is very expensive.
TEMPLATE BASED FACIAL RECOGNITION
Salient regions of the facial image are extracted
These regions are then compared on a pixel-by-pixel basis with an image in the database
Advantage is that the image preprocessing is simpler
Disadvantage is the database search and comparison is very expensive
HOW THE SYSTEM WORKED
NOT EVERYONE LOVES FACE RECOGNITION
To easy to misuse for wrong purposes Technology is not accurate enough given the
current technology and algorithms Difficult to use.
FUTURE OF FACE RECOGNITION Advancements in hardware and software Very large potential market Remove its problem makes its more
efficient..
Thanking you?
Questions?