@article {Elmouhtadi2018435, title = {Fingerprint identification based on hierarchical triangulation}, journal = {Journal of Information Processing Systems}, volume = {14}, number = {2}, year = {2018}, pages = {435-447}, doi = {10.3745/JIPS.02.0084}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046883308\&doi=10.3745\%2fJIPS.02.0084\&partnerID=40\&md5=98878a4e67240c4ddadb744f90dab887}, author = {Elmouhtadi, M. and El Fkihi, S. and Aboutajdine, D.} } @article {Elmouhtadi2018393, title = {Fingerprint identification using hierarchical matching and topological structures}, journal = {Studies in Computational Intelligence}, volume = {730}, year = {2018}, note = {cited By 0}, pages = {393-408}, abstract = {Fingerprint identification is one of the most popular and efficient biometric techniques used for improving automatic personal identification. In this paper, we will present a new indexing method, based on estimation of singular point considered as an important feature in the fingerprint by using the directional file. On the other hand, a hierarchical Delaunay triangulation is applied on the minutiae around the extracted singular point. Two fingerprints calculated by introducing the barycenter notion to ensure the exact location of the similar triangles is compared. 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 2018.}, doi = {10.1007/978-3-319-63754-9_18}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032002757\&doi=10.1007\%2f978-3-319-63754-9_18\&partnerID=40\&md5=e4d45320fd26c5982556a97c07bc754d}, author = {Elmouhtadi, M. and El Fkihi, S. and Aboutajdine, D.} } @article {Elmouhtadi2018393, title = {Fingerprint identification using hierarchical matching and topological structures}, journal = {Studies in Computational Intelligence}, volume = {730}, year = {2018}, pages = {393-408}, doi = {10.1007/978-3-319-63754-9_18}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032002757\&doi=10.1007\%2f978-3-319-63754-9_18\&partnerID=40\&md5=e4d45320fd26c5982556a97c07bc754d}, author = {Elmouhtadi, M. and El Fkihi, S. and Aboutajdine, D.} } @article {Elmouhtadi201711007, title = {Biometric protection approach based on fingerprint hierarchical identification}, journal = {International Journal of Applied Engineering Research}, volume = {12}, number = {21}, year = {2017}, note = {cited By 0}, pages = {11007-11014}, abstract = {With the exponential increase in the dependence on biometric based fingerprint in everyday life, there is a growing concern related to privacy and security issues; therefore, security threats need tobe analyzed in detail. Different fingerprint systems store personal information without any security. Hence, an attacker can easily have access to the identity of legitimate user. In order to secure these applications against different threats, several protection approaches have been proposed as alternative solution. In this paper, we propose a new approach for fingerprint template protection based on the fingerprint features transformation. In this context, we proposed a new indexation approach named {\textquoteleft}Hierarchical Identification and Protection Approach Based on Delaunay Triangulation{\textquoteright}, based on the topological transformation of minutia points. First, we applied the Delaunay triangulation as a matching method. Then we introduced the barycenter notion, which applied on the similar extracted triangle. This hierarchical meaner of triangulation improve the performance and the security of fingerprint systems. Driven experimental results show the ability of the proposed approach to preserve the performance and the security of biometric authentication systems. {\textcopyright} Research India Publications.}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040238621\&partnerID=40\&md5=48519c41204d7bd4c93962b3c08d510a}, author = {Elmouhtadi, M. and Lafkik, M. and Elfkihi, S.} } @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 1}, 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. and El Fkihi, S. and Aboutajdine, D.} } @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. and El Fkihi, S. and Aboutajdine, D.} }