T-Model VERSION 9.2
Inference for
Fingerprint Identification
Based on Match Probability and Relevant Population
Last Update: January 7, 2012
Henry Templeman
henry
- Introduction
- Probability Theory
- Fingerprint Match Probability
- Statistics Is More Accurate
- Foundations for The T Model
- Madrid Error
- Product Rule
- Ridge Unit Frequency
- Osterburg Frequency Table
- Santamaria v. Osterburg
- Pattern Force (1/2)
- Pattern Force (2/2)
- Friction Skin Elasticity
- Ridge Vector Angles of Rotation
- Discriminating Value for Ridge Feature Types (1/3)
- Discriminating Value for Ridge Feature Types (2/3)
- Discriminating Value for Ridge Feature Types (3/3)
- Discriminating Value for Ridge Feature Positions
- Ridge Unit Quality
- Fingerprint Analysis
- Fingerprint Comparison
- Quality of Agreement Level II
- Quality of Agreement Level III
- Ridge Connectivity Disagreement
- Non-Corresponding Ridge Events
- Fingerprint Evaluation
- Relevant Fingerprint Population
- The Formulae
- Error Rate in Measurement
- Error Rate in Terms of Best Look-alikes
- Bertillon Non-Match
- Chesapeake IAFIS Non-Match
- Clark Non-Match
- County of Santa Clara Non-Match
- Validation Study
- Error Rate in Look-alikes Calculated
- More Look-alikes and Shirley McKie
- Pre-Determined Minimum to Individualize
- Pre-Determined Minimum to Exclude
- Objective Conclusions
- Examiner Training 1/2
- Examiner Training 2/2
- T-Model Fingerprint Calculator
- Bench Notes
- Court
- Comments
- Solicitation
- References
- Author
- Updates
- Contact
- Fingerprint Consulting Services
Contact Information
For further information, questions, comments about this web site, suggestions how to improve the T-Model, fingerprint instruction, or fingerprint consultation services, please contact Henry Templeman at the following telephone number or email address:
(925) 997-2247
(United States)
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Henry Templeman
henry
