On estimating biometric capacity: An example based on LDV biometrics

Ikenna Odinaka; Po Hsiang Lai; Alan D. Kaplan; Joseph A. O'Sullivan

doi:10.1109/ALLERTON.2010.5706900

On estimating biometric capacity: An example based on LDV biometrics

Ikenna Odinaka
, Po Hsiang Lai
, Alan D. Kaplan
, Joseph A. O'Sullivan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

It is known that when a pattern recognition system is not subject to memory constraints on pattern representations and sensory information is not compressed, the recognition rate is bounded by the mutual information between the memory and sensory representations. In this paper, we investigate the recognition rates of Laser Doppler Vibrometry (LDV) signals obtained from 285 individuals. We consider four cases corresponding to four different assumptions as to the structure of the data source and noisy measurements, and present the results of the mutual information bounds. In particular, we show the bounds of the recognition rates for each feature of the LDV signal.

Original language	English
Title of host publication	2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010
Pages	146-151
Number of pages	6
DOIs	https://doi.org/10.1109/ALLERTON.2010.5706900
State	Published - 2010
Event	48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010 - Monticello, IL, United States Duration: Sep 29 2010 → Oct 1 2010

Publication series

Name	2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010

Conference

Conference	48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010
Country/Territory	United States
City	Monticello, IL
Period	09/29/10 → 10/1/10

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10.1109/ALLERTON.2010.5706900

Cite this

Odinaka, I., Lai, P. H., Kaplan, A. D., & O'Sullivan, J. A. (2010). On estimating biometric capacity: An example based on LDV biometrics. In 2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010 (pp. 146-151). Article 5706900 (2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010). https://doi.org/10.1109/ALLERTON.2010.5706900

@inproceedings{32c51ed327f4431e86434710f2bafd51,

title = "On estimating biometric capacity: An example based on LDV biometrics",

abstract = "It is known that when a pattern recognition system is not subject to memory constraints on pattern representations and sensory information is not compressed, the recognition rate is bounded by the mutual information between the memory and sensory representations. In this paper, we investigate the recognition rates of Laser Doppler Vibrometry (LDV) signals obtained from 285 individuals. We consider four cases corresponding to four different assumptions as to the structure of the data source and noisy measurements, and present the results of the mutual information bounds. In particular, we show the bounds of the recognition rates for each feature of the LDV signal.",

author = "Ikenna Odinaka and Lai, \{Po Hsiang\} and Kaplan, \{Alan D.\} and O'Sullivan, \{Joseph A.\}",

year = "2010",

doi = "10.1109/ALLERTON.2010.5706900",

language = "English",

isbn = "9781424482146",

series = "2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010",

pages = "146--151",

booktitle = "2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010",

note = "48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010 ; Conference date: 29-09-2010 Through 01-10-2010",

}

Odinaka, I, Lai, PH, Kaplan, AD & O'Sullivan, JA 2010, On estimating biometric capacity: An example based on LDV biometrics. in 2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010., 5706900, 2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, pp. 146-151, 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010, Monticello, IL, United States, 09/29/10. https://doi.org/10.1109/ALLERTON.2010.5706900

On estimating biometric capacity: An example based on LDV biometrics. / Odinaka, Ikenna; Lai, Po Hsiang; Kaplan, Alan D. et al.
2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010. 2010. p. 146-151 5706900 (2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - On estimating biometric capacity

T2 - 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010

AU - Odinaka, Ikenna

AU - Lai, Po Hsiang

AU - Kaplan, Alan D.

AU - O'Sullivan, Joseph A.

PY - 2010

Y1 - 2010

N2 - It is known that when a pattern recognition system is not subject to memory constraints on pattern representations and sensory information is not compressed, the recognition rate is bounded by the mutual information between the memory and sensory representations. In this paper, we investigate the recognition rates of Laser Doppler Vibrometry (LDV) signals obtained from 285 individuals. We consider four cases corresponding to four different assumptions as to the structure of the data source and noisy measurements, and present the results of the mutual information bounds. In particular, we show the bounds of the recognition rates for each feature of the LDV signal.

AB - It is known that when a pattern recognition system is not subject to memory constraints on pattern representations and sensory information is not compressed, the recognition rate is bounded by the mutual information between the memory and sensory representations. In this paper, we investigate the recognition rates of Laser Doppler Vibrometry (LDV) signals obtained from 285 individuals. We consider four cases corresponding to four different assumptions as to the structure of the data source and noisy measurements, and present the results of the mutual information bounds. In particular, we show the bounds of the recognition rates for each feature of the LDV signal.

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DO - 10.1109/ALLERTON.2010.5706900

M3 - Conference contribution

AN - SCOPUS:79952386199

SN - 9781424482146

T3 - 2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010

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BT - 2010 48th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2010

Y2 - 29 September 2010 through 1 October 2010

ER -

On estimating biometric capacity: An example based on LDV biometrics

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