KFU. Card publication. Estimation of the Quality of Biometric Features in the Task of Formation a Cryptographic Key Based on Handwriting

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

ESTIMATION OF THE QUALITY OF BIOMETRIC FEATURES IN THE TASK OF FORMATION A CRYPTOGRAPHIC KEY BASED ON HANDWRITING

Form of presentation

Articles in international journals and collections

Year of publication

2023

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Authors, employees of KFU

Bayanov Bulat Ilmirovich, author

Ismagilov Ilyas Idrisovich, author

Bibliographic description in the original language

Ismagilov I.I, Bayanov B.I., Estimation of the Quality of Biometric Features in the Task of Formation a Cryptographic Key Based on Handwriting//Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023. - 2023. - Vol., Is.. - P.697-702.

Annotation

Comparative analysis of the quality of groups of biometric parameters of handwriting is presented in the article. The input data for the biometric parameters are the coordinates of the position of the pen on the graphic tablet. The study used the SVC 2004 database of authentic handwritten signatures and high-quality forgeries of 40 users. For the purpose of conducting a comparative analysis, empirical data were collected based on handwritten records of 29 users, each of whom entered their own handwritten passphrase and a single passphrase for all in Russian. Special attention is paid to the methods of transformation of input biometric data and preparation of groups of biometric parameters. The transformation of the input data is carried out mainly using histograms, their normalization and resampling. The quality assessments of the identified groups of biometric parameters are presented, on the basis of which the most statistically significant groups are identified. The results of using the proposed conversion methods and comparative analysis of the quality of groups of biometric parameters indicate the possibility of their practical use for solving problems of improving developments in the field of biometric information security.

Keywords

information security, biometrics, dynamic handwriting, biometric data, biometric parameters, fuzzy extractors, biometrics-to code converter

The name of the journal

Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174930690&doi=10.1109%2fRusAutoCon58002.2023.10272853&partnerID=40&md5=ab0e2ca582db0a3d7418ed6df9d23e09

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=291132&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bayanov Bulat Ilmirovich	ru_RU
dc.contributor.author	Ismagilov Ilyas Idrisovich	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Ismagilov I.I, Bayanov B.I., Estimation of the Quality of Biometric Features in the Task of Formation a Cryptographic Key Based on Handwriting//Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023. - 2023. - Vol., Is.. - P.697-702.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=291132&p_lang=2	ru_RU
dc.description.abstract	Proceedings - 2023 International Russian Automation Conference, RusAutoCon 2023	ru_RU
dc.description.abstract	Comparative analysis of the quality of groups of biometric parameters of handwriting is presented in the article. The input data for the biometric parameters are the coordinates of the position of the pen on the graphic tablet. The study used the SVC 2004 database of authentic handwritten signatures and high-quality forgeries of 40 users. For the purpose of conducting a comparative analysis, empirical data were collected based on handwritten records of 29 users, each of whom entered their own handwritten passphrase and a single passphrase for all in Russian. Special attention is paid to the methods of transformation of input biometric data and preparation of groups of biometric parameters. The transformation of the input data is carried out mainly using histograms, their normalization and resampling. The quality assessments of the identified groups of biometric parameters are presented, on the basis of which the most statistically significant groups are identified. The results of using the proposed conversion methods and comparative analysis of the quality of groups of biometric parameters indicate the possibility of their practical use for solving problems of improving developments in the field of biometric information security.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	information security	ru_RU
dc.subject	biometrics	ru_RU
dc.subject	dynamic handwriting	ru_RU
dc.subject	biometric data	ru_RU
dc.subject	biometric parameters	ru_RU
dc.subject	fuzzy extractors	ru_RU
dc.subject	biometrics-to code converter	ru_RU
dc.title	Estimation of the Quality of Biometric Features in the Task of Formation a Cryptographic Key Based on Handwriting	ru_RU
dc.type	Articles in international journals and collections	ru_RU