@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 {Benamar20135, title = {Gradient-based time to contact on paracatadioptric camera}, booktitle = {2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings}, year = {2013}, note = {cited By 2}, pages = {5-9}, abstract = {The problem of time to contact or time to collision (TTC) estimation is largely discussed in perspective images. However, a few works have dealt with images of catadioptric sensors despite of their utility in robotics applications. The objective of this paper is to develop a novel model for estimating TTC with catadioptric images relative to a planar surface, and to demonstrate that TTC can be estimated only with derivative brightness and image coordinates. This model, called {\textquoteright}gradient based time to contact{\textquoteright}, does not need high processing such as explicit estimation of optical flow and feature detection and/or tracking. The proposed method allows to estimate TTC and gives additional information about the orientation of planar surface. It was tested on simulated and real datasets. {\textcopyright} 2013 IEEE.}, doi = {10.1109/ICIP.2013.6738002}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897697160\&doi=10.1109\%2fICIP.2013.6738002\&partnerID=40\&md5=2d096a6f98a59c3c442f3c24ffca4bbc}, author = {Benamar, F.a d and El Fkihi, S.a b and Demonceaux, C.c and Mouaddib, E.d and Aboutajdine, D.a} }