Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nabil Aharrane"'
Publikováno v:
Digital Technologies and Applications ISBN: 9783031019418
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dfa50ed1af0e7fea46a3b37d07cb329
https://doi.org/10.1007/978-3-031-01942-5_46
https://doi.org/10.1007/978-3-031-01942-5_46
Publikováno v:
Cloudtech
Support Vector Machines (SVM) is a classification model based on the duality optimization approach. Non-zero Lagrange multipliers correspond to the data selected to be support vectors used to build the margin decision. Unfortunately, SVM has two majo
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
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
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
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:
2015 Intelligent Systems and Computer Vision (ISCV).
This paper is devoted to the study of supervised learning methods as part of pattern recognition and especially the Amazigh Characters Recognition. The goal is to compare a partial list of the popular automatic classification methods, and test the pe