000			01531nam a2200253 4500
001			393665
090			_a393665
100			_a20151223d2015 y0pory50 ba
101			_aeng
200			_aAutomatic signature verification _bRecurso eletrónico _ebridging the gap between existing pattern recognition methods and forensic science _fMuhammad Imran Malik
210			_aKaiserslautern _c[s.n.] _d2015
215			_a1 CD-ROM _d12 cm
300			_aTese 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.).
330			_a1. 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.
606			_aEXAME À ESCRITA _9343070
606			_aESCRITA MANUAL _957532
606			_aANÁLISE DE DOCUMENTO _9343080
606			_aTESE _9334284
606			_aALEMANHA _9333241
700			_aMALIK _bMuhammad Imran _9357952
955			_xOferta