FIELD “IMAGE PROCESSING” COLLIQUIM TOPIC “FACE RECOGNITION BASED ON NODAL POINTS WITH NOISE REDUCTION” MASTER OF COMPUTER APPLICATION (5th Semester) Researched by: ANOOP GANGWAR ALOK GUPTA NITISH SHARMA SRMSCET , BAREILLY SURVEY ON RESEARCH

FACE DETECTION

What is Face Detection? Given an image, tell whether there is any human face, if there is, where is it(or where they are).

U V 127 127 -127 -127 Skin-Tone Region { Skin region in UV spectrum }

ASSUMPTION OF DETECTION ALGORITHM If skin-tone is with in the Skin box,then there is an face in the image. If skin-tone is out from the Skin box,then there is no face in the image.

U V 127 127 -127 -127 { Skin region in UV spectrum }

FACE RECOGNITION

What is Face Recognition? A set of two task: Face Identification: Given a face image that belongs to a person in a database, tell whose image it is. Face Verification: Given a face image that might not belong to the database, verify whether it is from the person it is claimed to be in the database.

How Facial Recognition Systems Work Every face has numerous, distinguishable landmarks, the different peaks and valleys that make up facial features. FaceIt defines these landmarks as nodal points. Each human face has approximately 80 nodal points. Some of these measured by the software are: Distance between the eyes Width of the nose Depth of the eye sockets The shape of the cheekbones The length of the jaw line

What is Face Recognition? A set of two task: Face Identification: Given a face image that belongs to a person in a database, tell whose image it is. Face Verification: Given a face image that might not belong to the database, verify whether it is from the person it is claimed to be in the database.

How Facial Recognition Systems Work Every face has numerous, distinguishable landmarks, the different peaks and valleys that make up facial features. FaceIt defines these landmarks as nodal points. Each human face has approximately 80 nodal points. Some of these measured by the software are: Distance between the eyes Width of the nose Depth of the eye sockets The shape of the cheekbones The length of the jaw line

BIOMETRICS: FACIAL RECOGNITION TECHNOLOGY

WHAT IS BIOMETRICS? BIOMETRICS – any automatically measurable, robust and distinctive physical characteristic or personal trait that can be used to identify an individual or verify the claimed identity of an individual.

TYPES OF BIOMETRICS Iris Scanning -measures the iris patter in the colored part of the eye Retinal Scan -measures the blood vessel patterns in the back of the eye

TYPES OF BIOMETRICS Voice Recognition -measures the vocal characteristics of a person using a specific phrase Finger Printing -measures the unique pattern of lines on a persons finger

TRAILER OF HOW WE RECOGNIGE. Step-1 The first step for a facial recognition system is to recognize a human face and extract it from the rest of the scene.

NODAL POINTS Step-2 Find all nodal points on the Face.

Step-3 To find the measurement of two adjacent nodal point we place the input image in between x axis and y axis.

Step-4 Put the coordinate of nodal points into the data matrix of N M. the representation is as follows.

Once we get the coordinates of nodal points Then we calculate the corresponding length Between nodal points such as :- N1(9,4) and N2(7,5) are the coordinates of the nodal points then the distance b/w eyes can be calculated by:- d=( (x1-x2)2 (y1-y2)2 )1/2 Step:-5

Step-6 (DATASET) These nodal points are then compared to the nodal points computed from a database of pictures in order to find a match.

PROBLEMS IN FACE RECOGNITION PROBLEM1--- Many faces of Madonna

Who are these people?

Who are these people?

National Geographic 1985 and 2002 THANKS FOR LISTENING !!! To be Continued…………