@article {Mohamed2020335,
	title = {Detecting text in license plates using a novel MSER-based method},
	journal = {International Journal of Data Analysis Techniques and Strategies},
	volume = {12},
	number = {4},
	year = {2020},
	note = {cited By 2},
	pages = {335-348},
	abstract = {A new license plate detection method is proposed in this paper. The proposed approach consists of three steps: the first step aims to delete some details in the input image by converting it to a grey-level image and inverse it (negative) and then use MSER for the extraction of text in candidate regions. The second step is based on a dynamic grouped DBSCAN algorithm for a fast classification of the connected region, and the outer tangent of circles intersections for filtering regions with the same orientations. Finally, a geometrical and statistical character filter is used to eliminate false detections in the third step. Experimental results show that our approach performs better and achieves a better detection than that proposed by Yin et al. (2014). {\textcopyright} 2020 Inderscience Enterprises Ltd.},
	doi = {10.1504/IJDATS.2020.111488},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097276428\&doi=10.1504\%2fIJDATS.2020.111488\&partnerID=40\&md5=ec0868e89fae7b8ade5bbd67748009dd},
	author = {Mohamed, A. and Sanaa, E.F. and Faizi, R.}
}
@article {Hdioud201870,
	title = {Detecting and shadows in the HSV color space using dynamic thresholds},
	journal = {Bulletin of Electrical Engineering and Informatics},
	volume = {7},
	number = {1},
	year = {2018},
	pages = {70-79},
	doi = {10.11591/eei.v7i1.893},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045525834\&doi=10.11591\%2feei.v7i1.893\&partnerID=40\&md5=ca79c66bd666526ee7849c304d10f7ef},
	author = {Hdioud, B. and El Haj Tirari, M. and Oulad Haj Thami, R. and Faizi, R.}
}
@conference {Bouzbita2017344,
	title = {Dynamic adaptation of the ACS-TSP local pheromone decay parameter based on the Hidden Markov Model},
	booktitle = {Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016},
	year = {2017},
	note = {cited By 1},
	pages = {344-349},
	abstract = {The objective of the present paper is to propose an improved Ant Colony System (ACS) algorithm based on a Hidden Markov Model (HMM) so as dynamically adapt the local pheromone decay parameter ξ. The proposed algorithm uses Iteration and Diversity as indicators of the hidden states in the search space in ACS. To test the efficiency of our algorithm, we experimented it on several benchmark Travelling Salesman Problem (TSP) instances. The results have proven the effectiveness of our algorithm in both the convergence speed and the solution quality. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/CloudTech.2016.7847719},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013861130\&doi=10.1109\%2fCloudTech.2016.7847719\&partnerID=40\&md5=26cafb2d23ee70bf2f3552d7fec22e8a},
	author = {Bouzbita, S. and El Afia, A. and Faizi, R. and Zbakh, M.}
}
