|
Title |
OPTIMIZATION OF THE STRUCTURE SELF-CORRECTING
BIO-CODE, STORING SYNDROMES ERROR AS FRAGMENTS
HASH-FUNCTIONS |
|
Authors |
Bezyaev Alexander, PhD, a leading specialist
Penza branch of FGUP NTC «Atlas». E-mail: ivan@pniei.penza.ru
Ivanov Alexander, doctor of technical sciences,
Associate Professor, head of the laboratory of
biometric and neural network technology «Penza
research Electrotechnical Institute». E-mail: ivan@pniei.penza.ru
Funtikova Yulia, engineer «Penza research
Electrotechnical Institute». E-mail: ivan@pniei.penza.ru |
|
Section |
Organizational and technical
protection of information |
|
Issue |
13 |
Page |
4-13 |
index UDC |
612.087.1+
004.032.26+
347.2:
004.056.5:
612.087.1 |
index LBC |
|
|
Abstract |
Analyzed «fuzzy extractors» and neural network
converters biometrics code. It is shown that the use
of them in classical redundant codes with error
detection and correction irrationally. Proposed to
use a code storing error syndromes as fragments of
hash functions. This eliminates waste of bio-bit
code to fill excess fragments of classical
self-correcting codes. Given alignment procedure
error distribution between the blocks bio-code. It
is shown that the distribution of the Hamming
distance between the codes «their» well describes
the distribution of Pearson, adapt strongly
correlated biometric data. |
|
Keywords |
codes with error detection and correction,
eliminating redundancy, «fuzzy extractors» neural
network converters biometrics code Pearson
distribution for dependent data. |
|
 |
You can access full text version of
the article |
