RECONSTRUCTION OF BIOMETRIC IMAGE TEMPLATES USING MATCH SCORES

Patent №

US 8,165,352

Granted

2012-04-24

Filed 2008

Owner

UNIVERSITY OF SOUTH FLORIDA

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12187028

A method of reconstructing biometric face image templates of a face recognition system (FRS) using the match scores or distances provided by the FRS. The match scores represent the distance between a image introduced to the FRS and the unknown image template stored in the FRS. The present method uses an affine transformation approximating the unknown algorithm within the FRS and the match scores provided by the FRS to determine the coordinates of the unknown target template. The coordinates of the unknown target template are then applied to a pseudo-inversion of the affine transformation to produce a reconstructed image template of the unknown target. This reconstructed image template can then be used to ‘break-in’ to the FRS.

Machine learningVisionG06V 40/172G06F 18/2137G06V 10/7715G06V 40/50

AI classification

Vision1.00
Machine learning0.86
AI hardware0.33
Natural language0.00
Knowledge representation0.00
Planning0.00
Evolutionary computation0.00
Speech0.00

Ownership

UNIVERSITY OF SOUTH FLORIDA

assignment · 214030233

Assignors

MOHANTY, PRANAB, SARKAR, SUDEEP, KASTURI, RANGACHAR

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC