2017 IEEE International Joint Conference on Biometrics (IJCB) 2017
DOI: 10.1109/btas.2017.8272724
|View full text |Cite
|
Sign up to set email alerts
|

Liveness detection on touchless fingerprint devices using texture descriptors and artificial neural networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
2
0
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
3
2

Relationship

0
9

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 12 publications
0
2
0
1
Order By: Relevance
“…To achieve accurate recognition using touchless images, several recent methods for biometric recognition have considered local texture descriptors that are designed to be robust to local changes in scale, rotation, translation, and illumination [12], [13]. The most recent approaches for palmprint recognition based on local texture descriptors generally involve computing a biometric template by extracting the local information related to the orientations of the lines on the palm [6], [14]- [16].…”
Section: Introductionmentioning
confidence: 99%
“…To achieve accurate recognition using touchless images, several recent methods for biometric recognition have considered local texture descriptors that are designed to be robust to local changes in scale, rotation, translation, and illumination [12], [13]. The most recent approaches for palmprint recognition based on local texture descriptors generally involve computing a biometric template by extracting the local information related to the orientations of the lines on the palm [6], [14]- [16].…”
Section: Introductionmentioning
confidence: 99%
“…Here, the latter ones tend to lose the ridge-line characteristic when pressed onto a surface. It was shown that all mentioned PAI species are able to attack contactless recognition schemes [3], [26]. Most notably, the persistence of the material plays a subordinate role for contactless fingerprint recognition.…”
Section: Pai Speciesmentioning
confidence: 99%
“…However, in contrast to contact-based schemes, the color of the PAI is of increased importance since most contactless devices capture color images, as shown by Kolberg et al [26] who also published a database that includes various PAI species. Studies including several of the aforementioned PAI species were conducted by Zaghetto et al [3] Adami et al [7], Priesnitz et al [8] and Purnapatra et al [9], [10]. The results indicate that PAIs from the contact-based domain are a minor challenge for state-ofthe-art PAD algorithms.…”
Section: Pai Speciesmentioning
confidence: 99%
“…Com foco na imagem dorsal do dedo, Singh et al [6] usam câmera de campo de luz (light field camera) no ambiente de ataques de apresentação. Os descritores de textura e redes neurais artificiais são utilizados por Zaghetto et al [7], na identificação de ataques de apresentação.…”
Section: Introductionunclassified