FACE RECOGNITION TECHNOLOGY JAIKISHAN SHARMA B-Tech (E.C.) 3rd Year : FACE RECOGNITION TECHNOLOGY JAIKISHAN SHARMA B-Tech (E.C.) 3 rd Year CONTENTS: INTRODUCTION DEFINITION WHY FACE RECOGNITION? FACE RECOGNITION COMPONENTS OF FACE RECOGNITION SYSTEM IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY ADVANTAGES AND DISADVANTAGES APPLICATIONS CONCLUSION CONTENTS INTRODUCTION: Complex and largely software based technique Analyze unique shape, pattern &positioning of facial features It compare scans to records stored in central or local database or even on a smart card INTRODUCTION DEFINITION: A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame . One of the ways to do this is by comparing selected facial features from the image and a facial database . DEFINITION WHY WE CHOOSE FACE RECOGNITION OVER OTHER BIOMETRICS: It requires no physical interaction on behalf of user It is accurate and allows for high enrolment and verification Not require an expert to interpret the comparison result Can use your existing infrastructure Passive identification WHY WE CHOOSE FACE RECOGNITION OVER OTHER BIOMETRICS FACE RECOGNITION: Two types of comparison in face recognition 1.Verification- The system compare the given individual with who that individual says they are. 2 .Identification-The system compares a given individual to all the other individuals in the database and gives a ranked list of matches. FACE RECOGNITION PowerPoint Presentation: Capture Extraction Comparison Match/Non match Accept/Project STAGES OF IDENTIFICATION FOUR STAGES OF IDENTIFICATION: Capture-Capture the behavioral sample Extraction-unique data is extracted from the sample and a template is created. Comparison-the template is compared with a new sample. samplesMatch /non match-the system decides whether the new are matched or not. FOUR STAGES OF IDENTIFICATION COMPONENTS OF FACE RECOGNITION: Enrollment module-An automated mechanism that scans and captures a digital or analog image of a living personal characteristics Database-Another entity which handles compression ,processing ,data storage and compression of the captured data with stored data Identification module-The third interfaces with the application system COMPONENTS OF FACE RECOGNITION PowerPoint Presentation: Face System Data base Preprocessing & segmentation Analysis Analysis Data Preprocessing & Segmentation Analysis Face rag & scoring Enrollment Module reject Verification Module User Interface IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY.: Data acquisition Input processing Face image classification Decision making IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY . HOW FRT WORKS : There are distinguishable landmark on your face called peaks and valleys-nodal points 80 nodal points on human face like -distance between eyes -width of nose -depth of eye socket -cheek bones - jawline -chin HOW FRT WORKS ADVANTAGE: Convenience and social acceptability Easy to use Inexpensive technique of identifying ADVANTAGE DISADVANTAGE: Problem with false rejection when people change their hair style, grow or shave a beard or wear glasses. Identical twins. DISADVANTAGE APPLICATIONS: Government Use 1. prison visitor system 2.Security/counterterrorism 3.Immigration 4. border control Commercial Use 1.computer system 2.Residential security 3.Voter verification 4.Banking using ATM APPLICATIONS CONCLUSION: Reliable. No technological or financial barriers. Cost of equipments is going down-cost effective. CONCLUSION THANK YOU……….: THANK YOU……….