A PROJECT REPORT ON FACE RECOGNITION SYSTEM WITH …

1 A PROJECT REPORT ON FACE RECOGNITION SYSTEM WITH FACE DETECTION A PROJECT REPORT is submitted to Jawaharlal Nehru Technological University Kakinada, In the partial fulfillment of the requirements for the award of degree of BACHELOR OF TECHNOLOGY In ELECTRONICS AND COMMUNICATION ENGINEERING Submitted by SAI 13KQ1A0475 13KQ1A0467 KUMAR 14KQ5A0411 14KQ5A0412 Under the guidance of Ms. SK.

2 AYESHA, Assistant Professor of dept DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING PACE INSTITUTE OF TECHNOLOGY AND SCIENCES (Affiliated to Jawaharlal Nehru Technological University Kakinada, Kakinada &Accredited by NAAC A grade An ISO 9001-2008 Certified Institution) NH-5, Valluru Post, Prakasam District, 523272, (2013-2017) PACE INSTITUTE OF TECHNOLOGY & SCIENCES (Affiliated to Jawaharlal Nehru Technological University Kakinada, Kakinada) (An ISO 9001-2008 Certified Institution) Department of Electronics &Communication Engineering CERTIFICATE This is to certify that the PROJECT work entitled as FACE RECOGNITION SYSTEM WITH FACE DETECTION is being Submitted by 13KQ1A0475, 13KQ1A0467, 14KQ5A0411, 14KQ5A0412, in the partial fulfillment for the award of the Degree of Bachelor of Technology in ELECTRONICS AND COMMUNICATION ENGINNERING in the academic during 2013-2017.

3 Under the esteemed Guidance of Ms. SK. AYESHA ASSISTANT PROFESSOR ASSOCIATE External Examiner Head of the Department Mr. , , ,( ) PROFESSOR&HOD ACKNOWLEDGEMENT I thank the almighty for giving us the courage and perseverance in completing the PROJECT itself is acknowledgements for all those people who have give ustheir heartfelt co-operation in making this PROJECT a grand success. I extend our sincere thanks to GOPAL RAO, , , Chairman of our college, for providing sufficient infrastructure and good environment in the College to complete our course.

4 I am thankful to our secretary Mr. M. SRIDHAR, , for providing the necessary Infrastructure and labs and also permitting to carry out this PROJECT . I am thankful to our principal RAO, , , , MISTE for providing the necessary infrastructure and labs and also permitting to carry out this PROJECT . With extreme jubilance and deepest gratitude, I would like to thank Head of the Department, , , MBA, ( ) for his constant encouragement. I special thanks to our PROJECT coordinator PRASAD, , Associate Professor, Electronics and Communications engineering, for his support and valuable suggestions regarding PROJECT work.

5 I am greatly indebted to PROJECT guide , , Assistant Professor, Electronics and Communications engineering, for providing valuable guidance at every stage of this PROJECT work. I am profoundly grateful towards the unmatched services rendered by him. Our special thanks to all the faculty of Electronics and Communications Engineering and peers for their valuable advises at every stage of this work. Last but not least , we would like to express our deep sense of gratitude and earnest thanks giving to our dear parents for their moral support and heartfelt cooperation in doing the main PROJECT . FACE DETECTION SYSTEM WITH FACE RECOGNITION ABSTRACT The face is one of the easiest ways to distinguish the individual identity of each other.

6 Face RECOGNITION is a personal identification SYSTEM that uses personal characteristics of a person to identify the person's identity. Human face RECOGNITION procedure basically consists of two phases, namely face detection, where this process takes place very rapidly in humans, except under conditions where the object is located at a short distance away, the next is the introduction, which recognize a face as individuals. Stage is then replicated and developed as a model for facial image RECOGNITION (face RECOGNITION ) is one of the much-studied biometrics technology and developed by experts. There are two kinds of methods that are currently popular in developed face RECOGNITION pattern namely, Eigenface method and Fisherface method.

7 Facial image RECOGNITION Eigenface method is based on the reduction of face-dimensional space using Principal Component Analysis (PCA) for facial features. The main purpose of the use of PCA on face RECOGNITION using Eigen faces was formed (face space) by finding the eigenvector corresponding to the largest eigenvalue of the face image. The area of this PROJECT face detection SYSTEM with face RECOGNITION is Image processing. The software requirements for this PROJECT is matlab software. Keywords: face detection, Eigen face, PCA, matlab Extension: There are vast number of applications from this face detection PROJECT , this PROJECT can be extended that the various parts in the face can be detect which are in various directions and shapes.

8 INDEX CONTENTS page LIST OF FIGURES ABSTRACT FACE FACE 2. LITERATURE BASE DEFORMABLE POINT DISTRIBUTION MODEL(PDM)..6 LOW LEVEL GRAY SCALE EDGE FEATURE FEATURE CONSTELLATION neural LINEAR SUB SPACE STASTICAL 3.

9 DIGITAL IMAGE DIGITAL IMAGE FUNDAMENTAL STEPS IN IMAGE ELEMENTS OF DIGITAL IMAGE PROCESSING A SIMPLE IMAGE FORMATION 4. matlab 's POWER OF COMPUTAIONAL FEATURES OF USES OF UNDERSTANDING THE matlab COMMONLY USED OPERATORS AND SPATIAL COMMANDS FOR MANAGING A INPUT AND OUTPUT M DATA TYPES AVAILABLE IN 5. FACE FACE DETECTION IN REAL TIME FACE FACE DETECTION FACE DETETION 6. FACE FACE RECOGNITION USING GEOMETRICAL FACE RECOGNITION USING TEMPLATE PROBLEM SCOPE AND SYSTEM BRIEF OUTLINE OF THE IMPLEMENTED FACE RECOGNITION INTER CLASS INTRA CLASS PRINCIPAL COMPONENT UNDER STANDING EIGEN IMPROVING FACE DETECTION USING POSE INVARIENT FACE 7.

10 8. REFERENCES ..49 9. LIST OF FIGURES FACE DETECTION DETECTION FACE FUNDAMENTAL STEPS IN DIGITAL IMAGE ELEMENTS OF DIGITAL IMAGE PROCESSING A SUCCESSFUL FACE DETECTION IN AN IMAGE WITH A FRONTAL VIEW OF A HUMAN FRAME 1 FROM FRAME 2 FROM SPATIO - TEMPORALLY FILTERED FACE AVERAGE HUMAN FACE IN AREA CHOSEN FOR FACE : BASIS FOR A BRIGHT INTENSITY INVARIANT SENSITIVE SCANED IMAGE FACE DETECTION MOUTH 5 . NOISE EYE FACE RECOGNITION USING TEMPLATE IMPLEMENTED FULLY AUTOMATED FRONTAL VIEW FACE DETECTION : PRINCIPAL COMPONENT ANALYSIS TRANSFORM FROM 'IMAGE SPACE' TO 'FACE SPACE'.