Title: AI in Identification of Individuals
1AI in Identification of Individuals
- By Nick, Martin, Michael, Owen, Peter, Andre Tom
2AI (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.
3AI Time-line
- It has been around for years
- Has been progressing a lot faster more recently
- AI Timeline (off the BBC website)
4Uses of AI in recognition
- Types
- Speech
- Face
- Fingerprint
- Natural language
- Handwriting
- ...and many more!
5Uses/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
6Facial Recognition
7Face recognition - Overview
- Biometrics
- Identify a person
- Humans are very good at it
- Quickly identify somebody
- Works from a distance
8Face 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
9Face 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
10Face recognition - Standards
- 2D Image Standards
- Lighting
- Pose
- Facial Expression
11Face recognition - Benefits
- Cannot be forgotten
- Works from a distance
- Can be used without peoples knowledge
- Can identify a person quickly
12Face recognition Current uses
- Known uses
- CCTV systems
- Eliminating voter fraud
- Security ID
- Computer automation
- Biometric passports
- Crime solving
13Face 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
14Face recognition 2.5D
- 2.5D
- 2D measurements
- Mapping to 3D blank model
- Semi 3D model (2.5D)
- Inconsistencies
- Facial Shape
- Feature Positions
15Face recognition Future uses
- 3D Face printing
- Integration with other biometric systems
16Face recognition 3D
- Video
- Similar to 2D
- Multiple images of face
- Create 3D model
17Face recognition - Ethics
- Identifying and monitoring people without their
knowledge - Automatically adding to database
- Security of facial information
- Wrongful arrest/conviction
18Face recognition - Summary
- Summary
- High computational cost
- Requires database access
- Potential inaccuracies
- Will be a part of day to day life
19Fingerprint Recognition
- Michael Squance and Owen Jones
20What 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
21How 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?
23Methods of data capture
- There are three different methods used in this
process - Optical
- Ultrasonic
- Capacitance
24Is 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
25Speech Recognition
26Speech Recognition
- What Is Speech Recognition?
- How Do They Work?
- How Good Are Current Systems?
- What They Do Well and Badly?
- Who Uses Them?
27What Is Speech Recognition
- Mapping of an Acoustic Voice Signal
- Conversion Of Speech to Text
- Understanding Speech to Form an Abstract Meaning.
- Person Recognition.
28Vocabulary Size
- Small vocabulary - tens of words
- Medium vocabulary - hundreds of words
- Large vocabulary - thousands of words
- Very-large vocabulary - tens of thousands of
words.
29Dependent, Adaptive or Independent?
- A speaker dependent system is-
- A speaker independent system is-
- A speaker adaptive system is-
30Isolated Word or Continuous Speech?
- Isolated Word
- Continuous Speech
31Recap
- 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