Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Muzzamil Luqman"'
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Mickaël Coustaty, Muzzamil Luqman, Jean‐Marc Ogier
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2291-2300 (2020)
Work on the problem of handwritten text recognition in Urdu script has been an active research area. A significant progress is made in this interesting and challenging field in the last few years. In this study, the authors presented a comprehensive
Externí odkaz:
https://doaj.org/article/5bef74dd6423405b8489cf6335ef4004
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Zeeshan Jhanidr, Mickaël Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Gyu Sang Choi
Publikováno v:
Applied Sciences, Vol 9, Iss 13, p 2758 (2019)
In the area of pattern recognition and pattern matching, the methods based on deep learning models have recently attracted several researchers by achieving magnificent performance. In this paper, we propose the use of the convolutional neural network
Externí odkaz:
https://doaj.org/article/7b4a94e9ca1540d2a3d305895bbed42c
Autor:
Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Muzzamil Luqman, Mickaël Coustaty, Jean-Marc Ogier
Publikováno v:
Symmetry, Vol 11, Iss 1, p 107 (2019)
We applied t-distributed stochastic neighbor embedding (t-SNE) to visualize Urdu handwritten numerals (or digits). The data set used consists of 28 × 28 images of handwritten Urdu numerals. The data set was created by inviting authors from different
Externí odkaz:
https://doaj.org/article/3c500f5bb1a9401b83c2898c18ecb52c
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 24:33-48
Face recognition of realistic visual images (e.g., photos) has been well studied and made significant progress in the recent decade. However, face recognition between realistic visual images/photos and caricatures is still a challenging problem. Unli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8801bbed5e656c8e56bd16fb042e093d
https://doi.org/10.1007/s10032-021-00364-6
https://doi.org/10.1007/s10032-021-00364-6
Publikováno v:
IEEE Access, Vol 9, Pp 99103-99111 (2021)
Graph-based methods have been widely used by the document image analysis and recognition community, as the different objects and the content in document images is best represented by this powerful structural representation. Designing of novel computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45b17ef89ce867d14258a3d16707d17f
https://doi.org/10.1109/access.2021.3096845
https://doi.org/10.1109/access.2021.3096845
Autor:
Nadeem Iqbal Kajla, Malik Muhammad Saad Missen, Muhammad Muzzamil Luqman, Mickael Coustaty, Arif Mehmood, Gyu Sang Choi
Publikováno v:
IEEE Access, Vol 8, Pp 201752-201761 (2020)
The recent success of graph neural networks (GNNs) in the area of pattern recognition (PR) has increased the interest of researchers to use these frameworks in non-euclidean structures. This non-euclidean structure includes graphs or manifolds that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efb164304c6396e9df2dc310b0fb947a
https://doi.org/10.1109/access.2020.3035886
https://doi.org/10.1109/access.2020.3035886
Autor:
Dmitry V. Polevoy, Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad Muzzamil Luqman, Jean-Christophe Burie
Publikováno v:
Journal of Imaging; Volume 8; Issue 7; Pages: 181
Various government and commercial services, including, but not limited to, e-government, fintech, banking, and sharing economy services, widely use smartphones to simplify service access and user authorization. Many organizations involved in these ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a73d7e2bccd0a156cc3e2ddace6a54b6
https://pubmed.ncbi.nlm.nih.gov/35877624
https://pubmed.ncbi.nlm.nih.gov/35877624
Autor:
Mickaël Coustaty, Jean-Marc Ogier, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Muzzamil Luqman, Mujtaba Husnain
Publikováno v:
Current Topics on Mathematics and Computer Science Vol. 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa1ab0329a3fd63189132c0e49cb07e4
https://doi.org/10.9734/bpi/ctmcs/v2/2338f
https://doi.org/10.9734/bpi/ctmcs/v2/2338f
Autor:
Muhammad Muzzamil Luqman, Sikandar Ali, Ali Samad, Hizbullah Khattak, Shahzad Mumtaz, Dost Muhammad Khan, Jean-Marc Ogier, Malik Muhammad Saad Missen, Mickaël Coustaty, Mujtaba Husnain
Publikováno v:
Complexity, Vol 2021 (2021)
In this paper, we make use of the 2-dimensional data obtained through t-Stochastic Neighborhood Embedding (t-SNE) when applied on high-dimensional data of Urdu handwritten characters and numerals. The instances of the dataset used for experimental wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f981375535e7dd05f1870b36b1288f4
https://doaj.org/article/79392714b2574f2f992636cadc10199a
https://doaj.org/article/79392714b2574f2f992636cadc10199a
Publikováno v:
Journal of Imaging
Journal of Imaging, Vol 6, Iss 139, p 139 (2020)
Journal of Imaging, Vol 6, Iss 139, p 139 (2020)
The widespread deployment of facial recognition-based biometric systems has made facial presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey thoroughly investigates facial Presentation Attack Detection (PAD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d412d5d879f2a0b9a25dfd1d9a25ac3f
http://europepmc.org/articles/PMC8321190
http://europepmc.org/articles/PMC8321190