1 / 14

FACE RECOGNITION TECHNOLOGY

FACE RECOGNITION TECHNOLOGY. JITHIN.S.J. S7 CSE. FACE RECOGNITION. All identification and authentication technologies operate using the 4 stage procedure capture extraction comparison match/nonmatch. There are two methods of capture Video imaging

tanner
Download Presentation

FACE RECOGNITION TECHNOLOGY

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. FACE RECOGNITION TECHNOLOGY JITHIN.S.J. S7 CSE. 123seminarsonly.com

  2. FACE RECOGNITION All identification and authentication technologies operate using the 4 stage procedure • capture • extraction • comparison • match/nonmatch 123seminarsonly.com

  3. There are two methods of capture • Video imaging Video imaging uses video cameras. System performance depends on precise position, angle of the head and surrounding lighting condition. • Thermal imaging Thermal imaging has better accuracy as it uses facial temperature variation. Disadvantage is that its very costly. 123seminarsonly.com

  4. CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS 123seminarsonly.com

  5. COMPONENTS OF FACE RECONITION SYSTEM Consists of three modules • Enrollment module • Database • Identification 123seminarsonly.com

  6. Performance Parameters • False acceptance rate,FAR= NFA/NIIA NFA= number of false acceptance NIIA=no of imposter identification attempt • False rejection rate,FRR = NFR/NEIA NFR=number of false rejection NEIA=number of enrollee identification attempt • Threshold/decision threshold • Equal error rate 123seminarsonly.com

  7. IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY • Data acquisition • Input processing • Face image classification and decision making 123seminarsonly.com

  8. HOW FACE RECOGNITION SYSTEMS WORKS-an example • Visionics, a company based in New Jersey • Faceit • 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 • faceit needs 14 to 20 nodal points 123seminarsonly.com

  9. THE SOFTWARE The basic process used by Faceit system are • Detection • Alignment • Normalisation • Representation • Matching 123seminarsonly.com

  10. ADVANTAGES AND DISADVANTAGES ADVANTAGES • Convenient, social acceptability • Easy to use • Inexpensive technique of identification DISADVANTAGES • Problem with false rejection when people change their hair style, grow or shave a beard or wear glasses. • Identical twins 123seminarsonly.com

  11. WHY WE CHOOSE FACE RECOGNITION • No physical interaction on behalf of the user • Does not require an expert to interpret the comparison • Can use existing hardware infrastructure • Can use existing image without having to re-enroll everytime • Only biometric that allows you to perform passive identification in a one to many environment 123seminarsonly.com

  12. APPLICATIONS • Replacement of PIN,physical tokens • No need of human assistance for identification • Prison visitor systems • Border control • Voting system • Computer security • Banking using ATM • Physical access control of buildings,areas etc 123seminarsonly.com

  13. CONCLUSION • Cost of equipments is going down-cost effective • Reliable • No technological or financial barriers 123seminarsonly.com

  14. Thank you 123seminarsonly.com

More Related