Technology Overview
Recoverable Biometric Enrollment Process
(Optical Application)
PISI’s
combinational enrollment process for biometric data is the result of PISI’s
underlying technology and OEM solutions. This practical approach solves many of
the privacy issues faced by the biometrics’ industry integrating biometric based
applications within the public. Below is a “UML” based sequence diagram
depicting PISI’s combinational protection scheme. This example illustrates a
retinal enrolment; this same technology is applicable to many different
biometric identifiers.
PISI’s technology and
intellectual property was developed as a result of growing privacy issues with
biometrics revealing more than identity alone and concerns of “recoverability”
(or lack of) if a user’s biometric identifier (data) is stolen or abused. The “Biometric”
labeled in the
diagram is the physical characteristic native to the user. The biometric alone
is worthless to both the enrollment process as well as to the validation
authority. PISI’s OEM products represented by a lens (Distortion
Element),
creates unique attributes associated with the biometric. The Enrolled
Identity is the combinational image seen through the other side of the lens.
It is this combined representation that is the user’s identifier enrolled within
the validation authority.
If the biometric
and/or lens is lost than the user just needs to get a new lens and tell the
system the new distorted image is now the user.
Identity Theft Solutions
Objective –
Create technology that positively authenticates individual(s) for access to
secure physical, financial, and data infrastructures
Problems
– Public exposure of
personal biometric data
1.
Biometric
identifiers are exposed at all times – Security based on logical combinations of
biometric and non-biometric attributes
2.
Defeatable by
theft of each attribute
3.
Biometric
attribute theft is irreversible and unrecoverable
 
1. Eliminates
biometrics as primary attributes of interest for theft – Create unique
identifying attribute using combination of biometric(s) and one or more unique
independent attributes
2.
Unique attributes
still maintain the same user specificity as biometrics alone
3.
Identity
attributes are composites with 2 or more “degrees of uniqueness”
| 
