Biometric Systems Based on Palm Vein Patterns, Journal of Telecommunications and Information Technology, 2015, nr 2

The work covers issues related to the design of biometric systems based on the hand vascular pattern. The study includes analysis of various stages of biometric systems design ranging from acquisition, feature extraction and biometric pattern creation for verification methods. The extraction methods based on two-dimensional density function and the extraction of the characteristic points { minutiae are presented. The article features the results of tests carried out on two different bases of blood vessels in a hand

Verification of people based on palm vein with the roi automatic appointment

In the paper, the new approach to identification and verification of people based on the palm vein pattern will be presented. To create the feature vector, palm vein shape geometric arrangement will be applied. For detailed features will be considered similarly to minutiae which was applied in finger lines analysis in vein endings and bifurcation. The methods of vein location on the inner hand, methods of minutiae location, and features coding will be discussed in detail. To extract specific features a two-dimension density function will be used. The method to determine minutiae-vein bifurcation and endings will be presented

Verification of people based on palm vein with the roi automatic appointment

Date limite => avant le 6 avril 2012 18h (avant le 23 mars 2012 pour les étudiants de Lille 3) Contrats doctoraux handicap =>favoriser l'émergence d'un vivier de personnes handicapées titulaires d'un doctorat est une priorité du Ministère de l'Enseignement Supérieur et de la Recherche, pour répondre à la fois aux exigences du marché du travail et inciter les étudiants handicapés à poursuivre dans des études longues. Constitution du dossier => téléchargemen

Analysis of advanced techniques of image processing based on automatic detection system and road signs recognition

This paper describes implementations of the Hough Circle Transform and the Radon Line Transform. The presented transforms were used to build a system for identifying road signs from selected images and recordings. This can be very important and especially useful for monitoring and prevention in driver assistance systems. The design of our system assumed that the objects should be found automatically from images or video sequence. Furthermore, the detection was based on the shapes of common traffic signs which correspond to used transforms. Additionally, the Huffman method was applied to encode the data before being compared. Consequently, the traffic signs were matched directly with the Euclidean distance

Analysis of advanced techniques of image processing based on automatic detection system and road signs recognition

Date of Fig. 4, 6-7, 9-10,12-16, 18-20