logging in or signing up Face Recognition Technology ebsilsherly Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 1008 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: March 25, 2011 This Presentation is Public Favorites: 5 Presentation Description No description available. Comments Posting comment... By: chenkeyin (25 month(s) ago) veary good!!! Thank you! Saving..... Post Reply Close Saving..... Edit Comment Close By: sunilcs08 (28 month(s) ago) plz send me this ppt my id is email@example.com Saving..... Post Reply Close Saving..... 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FACE RECOGNITION COMPONENTS OF FACE RECOGNITION SYSTEM PERFORMANCE IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY THE SOFTWARE ADVANTAGES AND DISADVANTAGES APPLICATIONS CONCLUSION CONTENTSINTRODUCTION: 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 INTRODUCTIONWHAT IS BIOMETRICS? : It is a unique measurable characteristics of a human being Used to automatically recognize an individual’s identity Two types 1.physiological & 2. behavioral characteristics include A “biometric system” refers to integrated hardware and software used to conduct biometic identification WHAT IS BIOMETRICS? 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 BIOMETRICSFACE 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 RECOGNITIONSlide 7: Capture Extraction Comparison Match/Non match Accept/Project STAGES OF IDENTIFICATIONFOUR 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. Match/non match-the system decides whether the new samples are matched or not. FOUR STAGES OF IDENTIFICATION3D GRAPHICAL MODELS OF FACES : 3D GRAPHICAL MODELS OF FACESCOMPONENTS 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 RECOGNITIONSlide 11: Face System Data base Preprocessing & segmentation Analysis Analysis Data Preprocessing & Segmentation Analysis Face rag & scoring Enrollment Module reject Verification Module User InterfacePERFORMANCE: False Acceptance Rate [FAR] False Rejection Rates [FRR] Response time Threshold/decision Threshold Enrollment time Equal error rate PERFORMANCEIMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY.: Data acquisition Input processing Face image classification Decision making IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY .THE SOFTWARE: Detection Alignment Normalization Representation Matching THE SOFTWAREADVANTAGE: Convenience and social acceptability Easy to use Inexpensive biometric ADVANTAGEDISADVANTAGE: Face recognition systems can’t tell the difference between identical twins DISADVANTAGEAPPLICATIONS: Government Use 1. Law enforcement 2.Security/counterterrorism 3.Immigration Commercial Use 1.Day care 2.Residential security 3.Voter verification 4.Banking using ATM APPLICATIONSCONCLUSION: Face recognition technologies have been associated generally with very costly top secure applications. Today the core technologies have evolved and the cost of equipments is going down dramatically due to the integration and the increasing processing power. Certain applications of face recognition technology are now cost effective ,reliable and highly accurate. As a result there are no technological or financial barriers for stepping from the pilot project to widespread deployment CONCLUSION You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.