Face recognition technology uses physiological biometrics to identify individuals based on facial features. There are two main types of face recognition systems: verification and identification. Verification systems perform 1:1 matching to confirm someone's identity, while identification systems perform 1:N matching to determine who someone is by searching a larger database. Face recognition detects around 80 nodal points on the face including distances between features. Real-world applications include using face recognition in a Chinese tourist town to track visitors and prevent ticket sharing. The system provides fast, accurate identification compared to other biometric options.

1. Face
Recognition
CHUU HTET NAING

2. Two Types of Biometrics
PHYSIOLOGICAL BEHAVIORAL
Finger-scan Voice-scan
Facial Recognition Signature-scan
Iris-scan Keystroke-scan
Retina-scan
Hand-scan

3. Two systems of Face Recognition
Verification System
– Is this person who they say they
are?
– Express himself or herself as a
specific person
– System checks against his or her
biometric profile
– 1 To 1 matching system
– Airport FRS
Identification System
– Who is this person?
– Check against with all the biometric
profile from database.
– 1 To N matching system
– Forensic System

4. How Face recognition detects a face
– Each human face has approximately 80 nodal points
– Some of these measured by the Facial Recognition Technology 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

5. 122 landmark points

6. How it Works
– Capture
– Extraction
– Comparison
– Matching

7. Asymmetrical makeup patterns to break
face detection/recognition programs

8. Real-World application of Face Recognition

9. Chinese Tourist Town
(November 2016)

10. How they use?
– When you are approaching a gate it will take a photo of you and it will compare
that photo to the database. Just one step.
– When you have to check in your accommodation, simply upload your photo to
the database
– Re-entering the town, the system will re-check you are still a guest or not.
– This is being used to track the 5,000 visitors every day.

11. Why they choose over others?
– Used to monitor its visitors using a ticket system but …………………...............
– some people were sharing their tickets to avoid paying.
– A fingerprint identification tool was then introduced, but ………………………..
– this took too long, and had lengthy queues.

12. Why it is reliable?
– Baidu's system is based on neural networks, which can process huge amounts of
data
– More than one billion faces
– 99.8 per cent accuracy.

14. NTechLab
– Small Moscow startup
– Beat competition from Beijing University
– Even Google’s FaceNet algorithm at the University of Washington’s 2015
MegaFace Competition
– Search From VK and Twitter

17. References
– https://www.biometricupdate.com/201206/explainer-verification-vs-identification-systems
– http://www.slideshare.net/gsantosh031/face-recognition-ppt?qid=1c9cc718-4476-43b3-a04c-
2c15c1e25415&v=&b=&from_search=1
– http://www.slideshare.net/SiddharthModi1/face-recognition-technology-27574561?qid=1c9cc718-4476-43b3-a04c-
2c15c1e25415&v=&b=&from_search=2
– http://www.wseas.us/e-library/transactions/information/2009/29-371.pdf
– https://www.tutorialspoint.com/biometrics/biometrics_quick_guide.htm
– http://ntechlab.com/#about
– http://listtag.com/news/m/Megaface
– http://www.businessinsider.com/findface-facial-recognition-can-identify-you-with-just-a-picture-of-your-face-2016-6
– http://www.ex-sight.com/technology.htm
– http://io9.gizmodo.com/how-fashion-can-be-used-to-thwart-facial-recognition-te-1495648863
– https://www.quora.com/What-are-the-80-nodal-points-on-a-human-face-that-facial-recognition-programs-use
– https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/
– http://www.dailymail.co.uk/sciencetech/article-3950066/Chinese-tourist-town-using-facial-recognition-allow-visitors-enter-
says-better-humans.html

18. Thank You!