Sökning: "Signature Verification"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden Signature Verification.
1. Efficient, Scalable and Secure Vehicular Communication System : An Experimental Study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Awareness of vehicles’ surrounding conditions is important in today’s intelligent transportation system. A wide range of effort has been put in to deploy Vehicular Communication (VC) systems to make driving conditions safer and more efficient. Vehicles are aware of their surroundings with the help of authenticated safety beacons in VC systems. LÄS MER
2. Feature Analysis in Online Signature Verification on Digital Whiteboard : An analysis on the performance of handwritten signature authentication using local and global features with Hidden Markov models
Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)Sammanfattning : The usage of signatures for authentication is widely accepted, and remains one of the most familiar biometric in our society. Efforts to digitalise and automate the verification of these signatures are hot topics in the field of Machine Learning, and a plethora of different tools and methods have been developed and adapted for this purpose. LÄS MER
3. Online Handwritten Signature Verification System : using Gaussian Mixture Model and Longest Common Sub-Sequences
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandlingSammanfattning : .... LÄS MER
4. Experimental verification of an instrument to test flooring materials.
Magister-uppsats, Högskolan i Halmstad/Akademin för ekonomi, teknik och naturvetenskapSammanfattning : The focus of the project is to validate the fluid model with different flooring materials and the measurements of an instrument to test flooring materials and its force attenuating capabilities using mathematical models to describe the signature and coefficients of the floor.As a part of improving the knowledge about the linear dynamics of vibrations involved during the sudden impact caused on hip bones of elderly people during fall. LÄS MER
5. On-line Handwritten Signature Verification using Machine Learning Techniques with a Deep Learning Approach
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The problem to be solved in this project is to distinguish two signatures from each other, with help of machine learning techniques. The main technique used is the comparison between two signatures and classifying if they are written by the same person (match) or not (no-match). LÄS MER