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Vol. 96, Issue 20, 11065-11066, September 28, 1999
* Identification Technology Division, EER Systems Inc. McLean, VA
22102; and
Why Use Biometrics-Based Personal Identification?
Biometrics-based personal identification attempts to
answer the questions "Who are you?" and "Are you who you claim
to be?" Personal identification, regardless of method, is ubiquitous
in our daily lives. For example, we often have to prove our identity to
gain access to a bank account, to enter a protected site, to draw cash
from an ATM, to log in to a computer, to claim welfare benefits, to
cross national borders, and so on.
Conventionally, we identify ourselves and gain access by physically
carrying passports, keys, badges, tokens, and access cards or by
remembering passwords, secret codes, and personal identification numbers (PINs). Unfortunately, passports, keys, badges, tokens, and
access cards can be lost, duplicated, stolen, or forgotten; and
passwords, secret codes, and PINs can easily be forgotten, compromised,
shared, or observed. Such loopholes or deficiencies of conventional
personal identification techniques have caused major problems to all
concerned. For example, hackers often disrupt computer networks; credit
card fraud is estimated at $2 billion per year worldwide; and in the
USA, welfare fraud (by double dippers) is believed to be in excess of
$4 billion a year. Robust, reliable, and foolproof personal
identification solutions must be sought to address the deficiencies of
conventional techniques.
Right at the frontier of such solutions is biometrics-based personal
identification. What are biometrics? Biometrics are personal physical
or biological measurements about an individual. Some frequently used
measurements are height, weight, hair color, eye color, and skin color
of an individual. As one may easily observe
This paper is a summary of a session presented at the first
Chinese-American Frontiers of Science symposium, held August 28-30,
1998, at the Arnold and Mabel Beckman Center of the National Academies
of Sciences and Engineering in Irvine, CA.
From the Academy
Automated biometrics-based personal identification
National Laboratory of Pattern Recognition (NLPR),
Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China
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