T Model VERSION 7.0.2

 

Fingerprint Identification Based on Match Probability and Relevant Population

  

Last Update:  December 1, 2009

FINGERPRINT CONSULTANT

 

HENRY TEMPLEMAN, CLPE/CCSA

 

Henry Templeman

 

International Association for Identification (IAI)

 

Certified Latent Print Examiner (CLPE)

Certified Crime Scene Analyst (CCSA)

 

 

 

Qualifications (Curriculum Vitae)
  • International Association for Identification Certified Latent Print Examiner
  • International Association for Identification Certified Crime Scene Analyst
  • Fingerprint Experience in Law Enforcement:  22+ years
  • Qualified Fingerprint Expert in California Municipal, California Superior, and US District Courtrooms
  • Designated Subject Matter Expert by the City of San Jose
  • Active Member of the International Association for Identification (IAI)
  • Active Member of the California State Division of the IAI (CSDIAI)
  • Known error rate to make erroneous fingerprint conclusions:  Zero
  • Designer of statistical probability fingerprint T-Model (click here)

 

Consultation Services

  • Fingerprint expert consultation for civil, criminal, and government communities
  • Fingerprint analysis, comparison and evaluation
  • Sequential latent print development techniques
  • Automated Fingerprint Identification Systems (AFIS)
  • Digital imaging fingerprint enhancement techniques
  • Largest and best fingerprint look-alikes ever recorded
  • Most notable erroneous fingerprint identifications ever recorded
  • Courtroom testimony preparation for the fingerprint examiner
  • Fingerprint case preparation for the prosecuting attorney
  • Fingerprint case preparation for the defense attorney
  • Fingerprint Strengths and Weaknesses by the Scientific Method
  • Fingerprint Strengths and Weaknesses by Frye and Daubert Standards
  • Fingerprint Strengths and Weaknesses by the National Academy of Sciences Report on Fingerprints (2009) [NAS Report]
  • Fingerprint Match Probability Theory (T-Model)

 

 Examination Services

  • Fingerprint examination, in person or via the internet, based on conventional professional judgment, e.g., subjective probability.
  • Fingerprint examination, in person or via the internet, based on empirical probability modeling, e.g., Fingerprint Match Probability Theory (T-Model).

 

 Training and Speaker Services

  • Guest lecture and speaker services on topics related to fingerprints, courtroom testimony, NAS Report, and more.
  • Classroom or online certificate training courses:
    1. Dactyloscopy
    2. Fingerprint Experiments
    3. Fingerprint Match Probability Modeling.
 
 Contact Information
 
 

 Email: henry@henrytempleman.com

 

 

(925) 997-2247

 

 

Service Nationwide

 

San Francisco, CA

Los Angeles, CA

 

 

 

Henry Templeman provides fingerprint examination services for Art Experts, Inc.

 

   

Fee

Telephone consultation, fingerprint examination, guest speaker, lecture and training fees are determined on a case by case basis.

Contact Henry Templeman to discuss your request at (925) 997-2247. 

 

Payment

Payment for services may be made by PayPal or Credit Card.  Upon agreement of services, click HERE and send payment to "henry@henrytempleman.com".  To pay by personal, company or government check, wire transfer, or other method, please call (925) 997-2247.

 

Disclaimer

Prospective clients are asked to read and agree to the DISCLAIMER prior to entering into a service agreement.

 

Note

Henry Templeman is currently employed as a Senior Latent Print Examiner at the City of San Jose Police Department, California, USA.  In order to avoid conflict with current job duties, criminal casework located in Santa Clara County that may involve courtroom testimony, is not accepted.
Henry Templeman
 
Henry Templeman’s T-Model is based on empirical observation and experiment based on the scientific method.  The greater the empirical content of a model, the greater is its predictive power. 
 
The T-Model is based on hard-earned knowledge gathered as a result of hands-on fingerprint experimentation.  As a result, it is considered to have greater empirical content and therefore greater predictive power than conventional ACE-V fingerprint methodology which is fundamentally based on mere judgment and subjective probability.


Henry Templeman's statistical probability  fingerprint T-Model, has shown to be more accurate than conventional fingerprint “ACE-V” methodology and more reliable than traditional fingerprint expert intuition and decision-making to define sufficiency thresholds to establish inference for positive fingerprint identification (see Validation Study and Error Rate in Look-alikes Calculated].

As a result, the T-Model may be considered a valuable tool to corroborate or unjustify previous fingerprint examiner conclusions.

 

The T Model © 2008 (Attribution Non-commercial Share Alike 3.0 United States License) is presented by the author alone and not his employer.  This license allows the reader to download, redistribute, translate, refine, change, and build upon this work non-commercially, as long as any license for new creations are under these identical terms. All new work based on the author’s will carry the same license, so any derivatives will also be non-commercial in nature.

  

T Model © 2008      Some Rights Reserved