Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Abdellatif, Dahmouni"'
Publikováno v:
In Procedia Computer Science 2018 127:246-255
Publikováno v:
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecceb62f9d4e9c5dd023fdeef731f8ac
https://doi.org/10.1109/wincom55661.2022.9966423
https://doi.org/10.1109/wincom55661.2022.9966423
Publikováno v:
Business Intelligence ISBN: 9783031064579
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0c10cedcd7bc0ae6979c39faa3a2fce
https://doi.org/10.1007/978-3-031-06458-6_10
https://doi.org/10.1007/978-3-031-06458-6_10
Publikováno v:
Pattern Recognition and Image Analysis. 28:758-770
In last years, several biometric modalities are coming back into the field of education. Especially, face recognition modality that allows authenticating humans based on their facial features. The main objective of this paper is to implement the reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::948ef9a6cb8578233b75ec579a8d805e
https://doi.org/10.1134/s1054661818040065
https://doi.org/10.1134/s1054661818040065
Publikováno v:
Multimedia Tools and Applications. 77:27471-27489
In this paper, we present a novel efficient face description method called Electric Virtual Binary Pattern (EVBP). The main idea of EVBP descriptor is to combine Local Binary Pattern (LBP) and our new Model based on the Virtual Electric Field. This m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88110a796e09224ac1320d6ce4131338
https://doi.org/10.1007/s11042-018-5932-6
https://doi.org/10.1007/s11042-018-5932-6
Publikováno v:
Pattern Recognition and Image Analysis. 27:41-52
The main problem in the handwritten character recognition systems (HCR) is to describe each character by a set of features that can distinguish it from the other characters. Thus, in this paper, we propose a robust set of features extracted from isol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1056970a08448a7012e470f3616c67b
https://doi.org/10.1134/s1054661817010011
https://doi.org/10.1134/s1054661817010011
Publikováno v:
ATSIP
In this work, we present an end-to-end system devoted to automatic recognition of printed Amazigh script in complex document images containing different languages such as Web images and natural scene images. To this end, text extraction from images i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a1a30a5c6f23e0334a8d8b6141a94d7
https://doi.org/10.1109/atsip.2017.8075520
https://doi.org/10.1109/atsip.2017.8075520
Publikováno v:
BDCA
Local Binary Pattern (LBP) is a non-parametric descriptor largely used in different pattern recognition fields. In last years, to solve basic LBP descriptor shortcomings, many LBP varieties are proposed. Here, we propose an adaptive local feature des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17be51c137f8bebfffc2657bf2e23984
https://doi.org/10.1145/3090354.3090394
https://doi.org/10.1145/3090354.3090394
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319465678
In last years, the facial biometry is coming back into education field; it is proposed to control student activities. In this paper, we propose a new face recognition system based on our Local Gradient Probabilistic Pattern (LGPP) and 2D-DWT. Firstly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670d4c1bc51b3bc688b75ddefea4cce3
https://doi.org/10.1007/978-3-319-46568-5_28
https://doi.org/10.1007/978-3-319-46568-5_28
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783319302997
In this work, we propose a new local pattern for face recognition, named Local Gradient Probabilistic Pattern (LGPP). It is an extension of Local Gradient Pattern (LGP) that uses a very important result of probability theory; it is the law large numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d89189c87704805219859ea498872c9
https://doi.org/10.1007/978-3-319-30301-7_29
https://doi.org/10.1007/978-3-319-30301-7_29