Biometry: Difference between revisions
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**cameras, automatical identification of suspects |
**cameras, automatical identification of suspects |
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**support search for missing persons |
**support search for missing persons |
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=Scenario= |
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*controlled environment |
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**uniform head position, cooperative users, good |
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image quality |
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*uncontrolled environment |
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**face has to be found, position, orientation, size, illumination (shadows), bakground, are variable and have to be compensated |
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**facial expression (laughing) has big influence |
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**face partially hidden, beard, hairstyle, glasses, hat can hide parts of the facial information |
Revision as of 13:14, 15 February 2005
Overview
- Broad Overview on Biometric Criteria
- Facial recognition
- Use, Scenario, Features
- General course
- Approaches
- Summary
- Insights on Fingerprints
- Features
- Acquisition
- Recognition
- Demonstration
- Problems
Short Introduction
- I biometry: the statistical analysis of biological
observations and phenomena (Merriam-Webster Online Dictionary)
- I biometric: a measurable, physical characteristic or
personal behavioral trait used to recognize the identity, or verify the claimed identity of a person
- I Three levels:
- 1. I know something (passwords)
- 2. I have something (tokens)
- 3. I am something (biometry)
Classification
Two diffent modes must be distinguished:
- Identification “Who is it?”
- Authentication “Is it her?”
Quality indices
False Rejection Rate (frr)
- Rate of authentication attempts from legitimate users that are rejected.
False Acceptance Rate (far)
- Rate of authentication attemps from illegitimate users (e.g. attackers) that are accepted.
Equal Error Rate (eer)
- The eer equals the far and frr when the system is configured so that far = frr.
Failure to Enroll Rate (fer)
- Rate of users that can’t enroll into the system at all.
Hand geometry
- Hand is placed on a reflective surface
- Hand is lit by some light source (e.g. bright LED)
- a camera and some mirrors are used to gather images of several parts of the hand from several angles
- the template consists of measurements extracted from the image
Retina scanning
- was available before iris scanning
- good (e.g. low) far
- a low intensity light source is used to scan the vascular pattern
Other techniques
- voice verification
- signature verification
- vein pattern scanning
- scent
- keystroke patterns
Use
- artifical intelligence
- autonomic systems should interact with human, recognize and interpret
- facial expressions as essential component
- civil authentification
- drivers licence, credit cards, access
- inconspicuous, good acceptance by users expected
- question: reliability, frontiers (twins)
- identification in delinquency (crime)
- cameras, automatical identification of suspects
- support search for missing persons
Scenario
- controlled environment
- uniform head position, cooperative users, good
image quality
- uncontrolled environment
- face has to be found, position, orientation, size, illumination (shadows), bakground, are variable and have to be compensated
- facial expression (laughing) has big influence
- face partially hidden, beard, hairstyle, glasses, hat can hide parts of the facial information