Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Taher Khadhraoui"'
Publikováno v:
Multimedia Tools and Applications. 77:24203-24222
In this paper, we propose a novel paradigm of Patch uniform Local Binary Patterns (PuLBP) based Local Generic Representation (LGR) for face recognition. Indeed, we introduce a new block in which an uLBP is used to approximate both reference and varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6557a4c880b026d5b44c758a0bce1247
https://doi.org/10.1007/s11042-018-5679-0
https://doi.org/10.1007/s11042-018-5679-0
Publikováno v:
Procedia Computer Science. 73:312-319
License Plate Recognition (LPR) system plays a very important role in intelligent traffic control and security management, such as parking enforcement, stolen vehicle recovery and surveillance operations. This research describes a new method for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4ccff3d7818eab63c2ad8b41f4fac3c
https://doi.org/10.1016/j.procs.2015.12.038
https://doi.org/10.1016/j.procs.2015.12.038
Publikováno v:
SERA
This paper presents an approach called Gabor-feature-based Local Generic Representation (G-LGR), which take advantages of the sparse representation properties of face recognition in biometric applications. In this work, the main problem is that if on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07d98b7c9486d9c0d3da9bf2ab5a9b97
https://doi.org/10.1109/sera.2017.7965722
https://doi.org/10.1109/sera.2017.7965722
Publikováno v:
2017 14th International Conference on Computer Graphics, Imaging and Visualization.
This paper presents an approach called Gabor-Feature-Based Local Generic Representation (G-LGR), which take advantages of the sparse representation properties of face recognition in biometric applications. In this work, the main problem is that if on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30fd9936ed9426aae638969083dcb6ed
https://doi.org/10.1109/cgiv.2017.17
https://doi.org/10.1109/cgiv.2017.17
Autor:
Taher Khadhraoui, Hamid Amiri
Publikováno v:
Image Analysis and Processing-ICIAP 2017 ISBN: 9783319685472
ICIAP (2)
ICIAP (2)
This paper presents an approach called Patch uniform Local Binary Patterns (PuLBP) based Local Generic Representation (LGR) for face recognition. In fact, we insert a novel block that comports a uLBP in order to approximate both variation and referen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eaa87b9e79a463ab2f1a06e9ce897c4
https://doi.org/10.1007/978-3-319-68548-9_19
https://doi.org/10.1007/978-3-319-68548-9_19
Publikováno v:
SERA
An efficient and above all cheap solutions, biometrics provide extensive information in access control applications. 3D mode provides great new opportunities in this sector in recent years. Firstly the paper discusses the formal work done in this dom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::208289e44be3b25603233446f5f88197
https://doi.org/10.1109/sera.2016.7516157
https://doi.org/10.1109/sera.2016.7516157
Publikováno v:
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV).
In this paper, we propose a technique of features selection based on modified particle swarm optimization (MPSO) for face recognition system. PSO is a new class of algorithm for feature selection based on the idea of collaborative behavior of bird fl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64b68d376d3221e35bb3bdd09b5ec0a5
https://doi.org/10.1109/cgiv.2016.28
https://doi.org/10.1109/cgiv.2016.28
Publikováno v:
ICIS
In this paper, we present a novel fusion approach 2D and 3D face recognition based on score level fusion using Relevance Vector Machine. RVM uses a combination of kernel functions on training data for classification and compared to SVM. Several novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aafe110c03e88176c51941d1d2dbed80
https://doi.org/10.1109/icis.2014.6912136
https://doi.org/10.1109/icis.2014.6912136
Publikováno v:
SNPD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0294da5d6c4fde5193964760c689be6f
https://doi.org/10.1109/snpd.2014.6888679
https://doi.org/10.1109/snpd.2014.6888679
Publikováno v:
2014 World Congress on Computer Applications and Information Systems (WCCAIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ee57fdded493b63d86efdb8b2792fd
https://doi.org/10.1109/wccais.2014.6916641
https://doi.org/10.1109/wccais.2014.6916641