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AI in Identification of Individuals

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Biometrics. Identify a person. Humans are very good at it. Quickly identify somebody ... Biometric passports. Crime solving. Face recognition Current problems ... – PowerPoint PPT presentation

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Title: AI in Identification of Individuals


1
AI in Identification of Individuals
  • By Nick, Martin, Michael, Owen, Peter, Andre Tom

2
AI (Artificial Intelligence)
  • the science and engineering of making
    intelligent machines
  • Used in overlapping fields
  • Research is concerned with producing machines to
    automate tasks of intelligent behaviour.

3
AI Time-line
  • It has been around for years
  • Has been progressing a lot faster more recently
  • AI Timeline (off the BBC website)

4
Uses of AI in recognition
  • Types
  • Speech
  • Face
  • Fingerprint
  • Natural language
  • Handwriting
  • ...and many more!

5
Uses/Advantages
  • Today we're going to look at
  • Face, Fingerprint Speech Recognition
  • Different ways of achieving these and how they
    work
  • Their practical uses / advantages and
    disadvantages

6
Facial Recognition
  • By Nick Martin

7
Face recognition - Overview
  • Biometrics
  • Identify a person
  • Humans are very good at it
  • Quickly identify somebody
  • Works from a distance

8
Face recognition - How it works
  • Current Systems
  • Recognise a face in image
  • Measure up to 80 points on the face
  • Distance between eyes
  • Width of nose
  • Depth of eye sockets
  • Cheekbones
  • Jaw line
  • Chin

9
Face recognition - How it works
  • Compares face print to database
  • Can return a match based on only 20 points
  • Returns best match
  • Match verified by an operator

10
Face recognition - Standards
  • 2D Image Standards
  • Lighting
  • Pose
  • Facial Expression

11
Face recognition - Benefits
  • Cannot be forgotten
  • Works from a distance
  • Can be used without peoples knowledge
  • Can identify a person quickly

12
Face recognition Current uses
  • Known uses
  • CCTV systems
  • Eliminating voter fraud
  • Security ID
  • Computer automation
  • Biometric passports
  • Crime solving

13
Face recognition Current problems
  • Faces must point towards camera
  • Image quality
  • Very similar looking people - Twins?
  • 2D only Photographs
  • Image altering
  • Make up
  • Ageing
  • Plastic Surgery

14
Face recognition 2.5D
  • 2.5D
  • 2D measurements
  • Mapping to 3D blank model
  • Semi 3D model (2.5D)
  • Inconsistencies
  • Facial Shape
  • Feature Positions

15
Face recognition Future uses
  • 3D Face printing
  • Integration with other biometric systems

16
Face recognition 3D
  • Video
  • Similar to 2D
  • Multiple images of face
  • Create 3D model

17
Face recognition - Ethics
  • Identifying and monitoring people without their
    knowledge
  • Automatically adding to database
  • Security of facial information
  • Wrongful arrest/conviction

18
Face recognition - Summary
  • Summary
  • High computational cost
  • Requires database access
  • Potential inaccuracies
  • Will be a part of day to day life

19
Fingerprint Recognition
  • Michael Squance and Owen Jones

20
What is a Fingerprint?
  • A fingerprint is an impression of the friction
    ridges of all or any part of the finger.
  • Everyone's fingerprints are different!
  • Why do we use them?
  • Crime Scene Analysis
  • Security Systems
  • Register Systems

21
How is this achieved?
  • There are two main technologies used in
    fingerprint recognition
  • Pattern/ image based
  • Image on image comparison

22
  • Minutia-based
  • Comparison of distinguishing features of a
    fingerprint

But how do we get these into a computer?
23
Methods of data capture
  • There are three different methods used in this
    process
  • Optical
  • Ultrasonic
  • Capacitance

24
Is this effective?
  • Fingerprint recognition has been used for 100
    years
  • Only a few recorded cases of it being unreliable
  • E.g. Stephan Cowans
  • Claimed to be 10x more effective than other
    methods e.g. DNA
  • We believe its very effective method of
    identification

25
Speech Recognition
  • By Peter Andre

26
Speech Recognition
  • What Is Speech Recognition?
  • How Do They Work?
  • How Good Are Current Systems?
  • What They Do Well and Badly?
  • Who Uses Them?

27
What Is Speech Recognition
  • Mapping of an Acoustic Voice Signal
  • Conversion Of Speech to Text
  • Understanding Speech to Form an Abstract Meaning.
  • Person Recognition.

28
Vocabulary Size
  • Small vocabulary - tens of words
  • Medium vocabulary - hundreds of words
  • Large vocabulary - thousands of words
  • Very-large vocabulary - tens of thousands of
    words.

29
Dependent, Adaptive or Independent?
  • A speaker dependent system is-
  • A speaker independent system is-
  • A speaker adaptive system is-

30
Isolated Word or Continuous Speech?
  • Isolated Word
  • Continuous Speech

31
Recap
  • Looked at different ways of using AI in
    recognition.
  • Various uses.
  • Advantages and limitations (quickly becoming
    less)
  • Maybe combine systems?
  • http//users.aber.ac.uk/tjs6/cs18110/grouppresenta
    tion.shtml
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