01531nam a2200253 4500 393665 393665 20151223d2015 y0pory50 ba eng Automatic signature verification Recurso eletrónico bridging the gap between existing pattern recognition methods and forensic science Muhammad Imran Malik Kaiserslautern [s.n.] 2015 1 CD-ROM 12 cm Tese de Doutoramento em Engenharia apresentada ao "Department of Computer Science", "Technische Universitat Kaiserslautern", tendo como orientadores Andreas Dengel, Marcus Liwicki. Ficheiro de 63,6 MB em formato PDF (248 p.). 1. Introduction. 2. Automatic Signature Verification. 3. Forensic Signature Comparison: The State-of-the-Art. 4. Approach. 5. Validation. 6. Novel Local Features based Systems for Forensic Signature Verification. 7. Stability Analysis for Signature Verification. 8. Man vs. Machine: A Comparative Analysis for Forensic Signature Verification. 9. Signature Segmentation from Document Images. 10. Hyper-spectral Imaging for Signature Analysis. 11. Associated Research. 12. Conclusion and Future Work. EXAME À ESCRITA 343070 ESCRITA MANUAL 57532 ANÁLISE DE DOCUMENTO 343080 TESE 334284 ALEMANHA 333241 MALIK Muhammad Imran 357952 Oferta 0 PJCD_270_000000000000000 2022-06-06 PJCD270 426129 PJ PJ PJ1CD270_21 PJCD270 2022-06-06 0 MO Oferta