Evaluating biometrics fingerprint template protection for an emergency situation

Biometric template protection approaches have been developed to secure the biometric templates against image reconstruction on the stored templates. Two cancellable fingerprint template protection approaches namely minutiae-based bit-string cancellable fingerprint template and modified minutiae-base...

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Permalink: http://skupni.nsk.hr/Record/nsk.NSK01001061199/Details
Matična publikacija: Tehnički glasnik (Online)
13 (2019), 4 ; str. 280-285
Glavni autori: Mon, Ei Ei (Author), Vasupongayya, Sangsuree, Karnjanadecha, Montri, Angchuan, Touchai
Vrsta građe: e-članak
Jezik: eng
Predmet:
Online pristup: https://doi.org/10.31803/tg-20191104190328
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024 7 |2 doi  |a 10.31803/tg-20191104190328 
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100 1 |a Mon, Ei Ei  |4 aut  |9 HR-ZaNSK 
245 1 0 |a Evaluating biometrics fingerprint template protection for an emergency situation  |h [Elektronička građa] /  |c Ei Ei Mon, Sangsuree Vasupongayya, Montri Karnjanadecha, Touchai Angchuan. 
300 |b Ilustr. 
504 |a Bibliografija: 32 jed. 
504 |a Abstract. 
520 |a Biometric template protection approaches have been developed to secure the biometric templates against image reconstruction on the stored templates. Two cancellable fingerprint template protection approaches namely minutiae-based bit-string cancellable fingerprint template and modified minutiae-based bit-string cancellable fingerprint template, are selected to be evaluated. Both approaches include the geometric information of the fingerprint into the extracted minutiae. Six modified fingerprint data sets are derived from the original fingerprint images in FVC2002DB1_B and FVC2002DB2_B by conducting the rotation and changing the quality of original fingerprint images according to the environment conditions during an emergency situation such as wet or dry fingers and disoriented angle of fingerprint images. The experimental results show that the modified minutiae-based bit-string cancellable fingerprint template performs well on all conditions during an emergency situation by achieving the matching accuracy between 83% and 100% on FVC2002DB1_B data set and between 99% and 100% on FVC2002DB2_B data set. 
653 0 |a Biometrija  |a Biometrijski podaci  |a Otisci prstiju  |a Autentifikacija 
700 1 |a Vasupongayya, Sangsuree  |4 aut  |9 HR-ZaNSK 
700 1 |a Karnjanadecha, Montri  |4 aut 
700 1 |a Angchuan, Touchai  |4 aut  |9 HR-ZaNSK 
773 0 |t Tehnički glasnik (Online)  |x 1848-5588  |g 13 (2019), 4 ; str. 280-285  |w nsk.(HR-ZaNSK)000810940 
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856 4 0 |u https://doi.org/10.31803/tg-20191104190328 
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856 4 1 |y Digitalna.nsk.hr