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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University North
2019-01-01
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| Series: | Tehnički Glasnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/333669 |
| _version_ | 1827282583737597952 |
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| author | Ei Ei Mon Sangsuree Vasupongayya Montri Karnjanadecha Touchai Angchuan |
| author_facet | Ei Ei Mon Sangsuree Vasupongayya Montri Karnjanadecha Touchai Angchuan |
| author_sort | Ei Ei Mon |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:21:44Z |
| format | Article |
| id | doaj.art-b53af1f9e7634b21a9bb228dc48063e4 |
| institution | Directory Open Access Journal |
| issn | 1846-6168 1848-5588 |
| language | English |
| last_indexed | 2024-04-24T09:21:44Z |
| publishDate | 2019-01-01 |
| publisher | University North |
| record_format | Article |
| series | Tehnički Glasnik |
| spelling | doaj.art-b53af1f9e7634b21a9bb228dc48063e42024-04-15T15:53:58ZengUniversity NorthTehnički Glasnik1846-61681848-55882019-01-0113428028510.31803/tg-20191104190328Evaluating biometrics fingerprint template protection for an emergency situationEi Ei Mon0Sangsuree Vasupongayya1Montri Karnjanadecha2Touchai Angchuan3Department of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, ThailandDepartment of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, ThailandDepartment of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, ThailandDepartment of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla 90112, ThailandBiometric 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.https://hrcak.srce.hr/file/333669biometric-based user authenticationbiometric cryptosystemcancellable biometrics |
| spellingShingle | Ei Ei Mon Sangsuree Vasupongayya Montri Karnjanadecha Touchai Angchuan Evaluating biometrics fingerprint template protection for an emergency situation Tehnički Glasnik biometric-based user authentication biometric cryptosystem cancellable biometrics |
| title | Evaluating biometrics fingerprint template protection for an emergency situation |
| title_full | Evaluating biometrics fingerprint template protection for an emergency situation |
| title_fullStr | Evaluating biometrics fingerprint template protection for an emergency situation |
| title_full_unstemmed | Evaluating biometrics fingerprint template protection for an emergency situation |
| title_short | Evaluating biometrics fingerprint template protection for an emergency situation |
| title_sort | evaluating biometrics fingerprint template protection for an emergency situation |
| topic | biometric-based user authentication biometric cryptosystem cancellable biometrics |
| url | https://hrcak.srce.hr/file/333669 |
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