Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Meryem Erbilek"'
Publikováno v:
IEEE Access, Vol 7, Pp 164759-164774 (2019)
Handwriting and signature biometrics have a long history in the literature, especially in terms of identity recognition and/or verification; nevertheless, it reveals more information therefore provides more opportunities for personal characteristics
Externí odkaz:
https://doaj.org/article/24a3ff7a1dff4d89b6a1dc777db52f8d
Autor:
Michael Fairhurst, Meryem Erbilek
Publikováno v:
Je-LKS: Journal of E-Learning and Knowledge Society, Vol 10, Iss 2 (2014)
Handwritten documents provide a rich source of data and, with the growth in the availability of digitised documents, it becomes increasingly important to improve our ability to analyse and extract “knowledge” from such sources. This paper describ
Externí odkaz:
https://doaj.org/article/992362bafc50484d80432751da208df4
Akademický článek
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Publikováno v:
Electronics
Volume 12
Issue 3
Pages: 612
Volume 12
Issue 3
Pages: 612
Autism spectrum disorder as a condition has posed significant early diagnosis challenges to the medical and health community for a long time. The early diagnosis of ASD is crucial for early intervention and adequate management of the condition. Sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d76ce79a26efa0e8e17d90ae757c3d
Autor:
Hakan Yekta Yatbaz, Meryem Erbilek
Publikováno v:
IWBF
Soft-Biometric measurements are now increasingly adopted as a robust means of determining individual’s non-unique characteristics with the emerging models that are widely used in the deep learning domain. This approach is clearly valuable in a vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da709fb1a16fd8c777feffacf960036c
https://doi.org/10.1109/iwbf49977.2020.9107942
https://doi.org/10.1109/iwbf49977.2020.9107942
Publikováno v:
IET Biometrics. 4:90-97
Handwriting biometrics has a long history, especially when the handwritten signature is the target, but it has also proved possible to use handwriting as a basis for the prediction of various non-unique but forensically useful characteristics of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2edbfd60a4ec6d6a75b448bc22f27eca
https://doi.org/10.1049/iet-bmt.2014.0097
https://doi.org/10.1049/iet-bmt.2014.0097
Publikováno v:
IEEE Transactions on Human-Machine Systems. 45:294-303
As biometric systems are deployed in increasingly diverse applications, it becomes correspondingly important to understand the impact which human aging has on system performance. Aging directly affects those physiological and behavioral traits which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a14d86dfc525c31447afaa92578251b6
https://doi.org/10.1109/thms.2014.2376874
https://doi.org/10.1109/thms.2014.2376874
Publikováno v:
2017 9th International Conference on Computational Intelligence and Communication Networks (CICN).
The ubiquitous nature of our digital lifestyle raised many security issues including signature imitation and stealing of our identity. Therefore, there is a need for robust systems to verify or identify the signatory. In this paper, in contradistinct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f14b91e60a4154b57ab40291bfc9b54f
https://doi.org/10.1109/cicn.2017.8319377
https://doi.org/10.1109/cicn.2017.8319377
Autor:
Rehab Ibrahem, Meryem Erbilek
Publikováno v:
2017 9th International Conference on Computational Intelligence and Communication Networks (CICN).
In this paper, we analyse the differences and similarities of features in the context of blind and visual signing data collection protocols with respect to the signature biometrics identification performance. As a result of this performed experimenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a2166e421f8cdfb83499bcac7571817
https://doi.org/10.1109/cicn.2017.8319370
https://doi.org/10.1109/cicn.2017.8319370
Autor:
Meryem Erbilek, Issa Djeni
Publikováno v:
2017 9th International Conference on Computational Intelligence and Communication Networks (CICN).
In biometrie authentication system the false acceptance rate (FAR) and false rejection rate (FRR) are two signifieant performanee metries used to illustrate the seeurities level of the system. All the biometric systems do not have an equal FAR and FR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95db5e50e4d823fb474499310a20d4e4
https://doi.org/10.1109/cicn.2017.8319391
https://doi.org/10.1109/cicn.2017.8319391