Full text
| |
| Author(s): |
Matheus Lorenzo dos Santos
Total Authors: 1
|
| Document type: | Master's Dissertation |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2008-12-12 |
| Examining board members: |
Rodrigo Fernandes de Mello;
Eduardo Raul Hruschka;
Alessandra Alaniz Macedo
|
| Advisor: | Rodrigo Fernandes de Mello |
| Abstract | |
Throughout the centuries, behavioral studies have been conducted by scientists and philosophers, approaching subjects such as stars and planet trajectories, social organizations, living beings, human behavior and language. With the advent of computer science, large amounts of information have been made available, which brings out new challenges in the interactive behavior context. Such challenges have motivated this master thesis which proposes a methodology to classify, detect and identify behavioral patterns. A digital signature verification database, obtained from the First International Signature Verification Competition (SVC2004), was used to validate the proposed methodology. Knowledge models were obtained and, afterwards, employed in signature verification experiments. Results were compared to other approaches from the literature (AU) | |
| FAPESP's process: | 06/02113-3 - Classification and user behavior variation detection |
| Grantee: | Matheus Lorenzo dos Santos |
| Support Opportunities: | Scholarships in Brazil - Master |