Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison

X. Shang; Raymond N.J. Veldhuis

doi:10.1109/BTAS.2008.4699338

Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison

X. Shang, Raymond N.J. Veldhuis

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

4 Citations (Scopus)

200 Downloads (Pure)

Abstract

In our biometric verification system of a smart gun, the rightful user of a gun is authenticated by grip-pattern recognition. In this work verification will be done using two types of comparison methods, respectively. One is mean-template comparison, where the matching score between a test image and a subject is computed, by comparing the test image to the mean value of training samples of this subject. The other one is maximum-pairwise comparison, where the matching score between a test image and a subject is selected as the maximum, among all the similarity scores resulting from comparison between the test image and each training sample of this subject. Experimental results show that a much lower false-acceptance rate can be obtained at the required false-rejection rate of our system using maximum-pairwise comparison, than mean-template comparison.

Original language	English
Title of host publication	2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008
Place of Publication	Los Alamitos
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	978-1-4244-2729-1
DOIs	https://doi.org/10.1109/BTAS.2008.4699338
Publication status	Published - 29 Sept 2008
Event	2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008 - Washington, United States Duration: 29 Sept 2008 → 1 Oct 2008 Conference number: 2 http://www.cse.nd.edu/BTAS_08/

Publication series

Name
Publisher	IEEE Computer Society Press
Number	WoTUG-31

Conference

Conference	2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008
Abbreviated title	BTAS
Country/Territory	United States
City	Washington
Period	29/09/08 → 1/10/08
Internet address	http://www.cse.nd.edu/BTAS_08/

Keywords

SCS-Safety
EWI-14613
METIS-255004
IR-65218
CR-I.5

Access to Document

10.1109/BTAS.2008.4699338

Cite this

@inproceedings{6bbee428f493462b8dbff20b3dd16b7a,

title = "Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison",

abstract = "In our biometric verification system of a smart gun, the rightful user of a gun is authenticated by grip-pattern recognition. In this work verification will be done using two types of comparison methods, respectively. One is mean-template comparison, where the matching score between a test image and a subject is computed, by comparing the test image to the mean value of training samples of this subject. The other one is maximum-pairwise comparison, where the matching score between a test image and a subject is selected as the maximum, among all the similarity scores resulting from comparison between the test image and each training sample of this subject. Experimental results show that a much lower false-acceptance rate can be obtained at the required false-rejection rate of our system using maximum-pairwise comparison, than mean-template comparison.",

keywords = "SCS-Safety, EWI-14613, METIS-255004, IR-65218, CR-I.5",

author = "X. Shang and Veldhuis, {Raymond N.J.}",

year = "2008",

month = sep,

day = "29",

doi = "10.1109/BTAS.2008.4699338",

language = "English",

isbn = "978-1-4244-2729-1",

publisher = "IEEE",

number = "WoTUG-31",

pages = "1--5",

booktitle = "2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008",

address = "United States",

note = "2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008, BTAS ; Conference date: 29-09-2008 Through 01-10-2008",

url = "http://www.cse.nd.edu/BTAS_08/",

}

Shang, X & Veldhuis, RNJ 2008, Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison. in 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008., 10.1109/BTAS.2008.4699338, IEEE, Los Alamitos, pp. 1-5, 2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008, Washington, District of Columbia, United States, 29/09/08. https://doi.org/10.1109/BTAS.2008.4699338

Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison. / Shang, X.; Veldhuis, Raymond N.J.
2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008. Los Alamitos: IEEE, 2008. p. 1-5 10.1109/BTAS.2008.4699338.

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

TY - GEN

T1 - Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison

AU - Shang, X.

AU - Veldhuis, Raymond N.J.

N1 - Conference code: 2

PY - 2008/9/29

Y1 - 2008/9/29

N2 - In our biometric verification system of a smart gun, the rightful user of a gun is authenticated by grip-pattern recognition. In this work verification will be done using two types of comparison methods, respectively. One is mean-template comparison, where the matching score between a test image and a subject is computed, by comparing the test image to the mean value of training samples of this subject. The other one is maximum-pairwise comparison, where the matching score between a test image and a subject is selected as the maximum, among all the similarity scores resulting from comparison between the test image and each training sample of this subject. Experimental results show that a much lower false-acceptance rate can be obtained at the required false-rejection rate of our system using maximum-pairwise comparison, than mean-template comparison.

AB - In our biometric verification system of a smart gun, the rightful user of a gun is authenticated by grip-pattern recognition. In this work verification will be done using two types of comparison methods, respectively. One is mean-template comparison, where the matching score between a test image and a subject is computed, by comparing the test image to the mean value of training samples of this subject. The other one is maximum-pairwise comparison, where the matching score between a test image and a subject is selected as the maximum, among all the similarity scores resulting from comparison between the test image and each training sample of this subject. Experimental results show that a much lower false-acceptance rate can be obtained at the required false-rejection rate of our system using maximum-pairwise comparison, than mean-template comparison.

KW - SCS-Safety

KW - EWI-14613

KW - METIS-255004

KW - IR-65218

KW - CR-I.5

U2 - 10.1109/BTAS.2008.4699338

DO - 10.1109/BTAS.2008.4699338

M3 - Conference contribution

SN - 978-1-4244-2729-1

SP - 1

EP - 5

BT - 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2008

PB - IEEE

CY - Los Alamitos

T2 - 2nd IEEE International Conference on Biometrics: Theory Applications and Systems, BTAS 2008

Y2 - 29 September 2008 through 1 October 2008

ER -

Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and Mean-Template Comparison

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this