@article {Elmouhtadi2017714,
	title = {Fingerprint identification using hierarchical matching and topological structures},
	journal = {Advances in Intelligent Systems and Computing},
	volume = {533},
	year = {2017},
	note = {cited By 0},
	pages = {714-722},
	abstract = {Fingerprint identification is one of the most popular and efficient biometric technique used for improving automatic personal identification. In this paper, we will present a new indexing based method, in the first step, on estimation of singular point considered as an important feature in the fingerprint using a directional file. In the second step, a hierarchical Delaunay triangulation was applied on the minutiae around the singular point extracted. Comparison of two fingerprints was calculated by introducing the barycenter notion so as to ensure the exact location of the similar triangles. We have performed extensive experiments and comparisons to demonstrate the effectiveness of the proposed approach using a challenging public database (i.e., FVC2000) which contains small area and low quality fingerprints. {\textcopyright} Springer International Publishing AG 2017.},
	doi = {10.1007/978-3-319-48308-5_68},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994504482\&doi=10.1007\%2f978-3-319-48308-5_68\&partnerID=40\&md5=8c568e5df1645e23782fc831e2182b69},
	author = {Elmouhtadi, M.a and El Fkihi, S.a b and Aboutajdine, D.a}
}
@conference {Elmouhtadi2017434,
	title = {Fingerprints indexing algorithms based on multiple characteristics},
	booktitle = {Colloquium in Information Science and Technology, CIST},
	year = {2017},
	note = {cited By 0},
	pages = {434-437},
	abstract = {Fingerprint identification in large databases is a leading concern preoccupation problem since biometrics still the most reliable and secure means of identification systems. Hence the need to find an accurate and relevant system of research and identification. In this paper we present the different approaches of fingerprints indexing algorithms that have proven satisfactory results in the field, evaluated on large databases provided by FVC. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/CIST.2016.7805086},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010223948\&doi=10.1109\%2fCIST.2016.7805086\&partnerID=40\&md5=d8555e034c9089955faeed9880ac4dda},
	author = {Elmouhtadi, M.a and El Fkihi, S.b and Aboutajdine, D.a}
}
@conference {Elmouhtadi2015,
	title = {Fingerprint indexing based barycenter triangulation},
	booktitle = {Proceedings of 2015 IEEE World Conference on Complex Systems, WCCS 2015},
	year = {2015},
	note = {cited By 0},
	abstract = {Fingerprint indexing is an efficient technique for improving automatic fingerprint identification systems. In this paper we will present a new index method based on a hierarchical Delaunay triangulation of the minutiae points. The comparison of two fingerprints was calculated by introducing the barycenter notion so as to ensure the exact location of the similar triangles. We have performed extensive experiments and comparisons to demonstrate the effectiveness of the proposed approach using a challenging public database (i.e., FVC2000 Db1) which contains small area, low quality fingerprints. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/ICoCS.2015.7483263},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978427437\&doi=10.1109\%2fICoCS.2015.7483263\&partnerID=40\&md5=58fb933699f1e58a80089aca6885a7c3},
	author = {Elmouhtadi, M.a and Aboutajdine, D.a and El Fkihi, S.b}
}
