000			02246nam a2200265 4500
001			393308
010			_a9788283400038
090			_a393308
100			_a20150604d2015 y0pory50 ba
101			_aeng
200			_aA computational forensic approach to the analysis of questioned document fragments _bRecurso eletrónico _fSukalpa Chanda
210			_aGjovik _c[s.n.] _d2015
215			_a1 CD-ROM _d12 cm
300			_aTese de Doutoramento em "Computer Science" submetida à "Faculty of Computer Science and Media Technology", Gjøvik University College, tendo como orientadores Katrin Franke e Umapada Pal. Ficheiro de 5,04 MB em formato PDF (110 p.).
330			_a1. Introduction. 1.1 Topic. 1.2 Research Problem. 1.3 Motivation. 1.4 Related Research Problem and Our Approach to Solve the Problem. 1.5 Contribution of the Thesis. 1.6 Thesis Outline. 2. Background Information and Related Theories. 2.1 Texture. 2.2 Scripts and Fonts. 2.3 Writer Individuality. 2.4 Statistical Learning Theory. 3. Literature Review. 3.1 Introduction. 3.2 Text and Graphics Segmentation. 3.3 Script Identification. 3.4 Writer Identification. 3.5 Font Identification. 4. Contribution, Summary and Practical Considerations. 4.1 Brief Discussion on First Three Introductory Chapters in Part I. 4.2 Brief Discussion on Paper Contributions. 4.3 Summary of Thesis Contribution. 4.4 Practical Considerations. 4.5 Future Work. 5. Document-Zone Classification in Torn Documents. 5.1 Introduction. 5.2 Method Overview. 5.3 Dataset And Experimental Design. 5.4 Results and Discussions. 5.5 Conclusion. 6. Text Independent Writer Identification for Bengali Script. 7.Text Independent Writer Identification for Oriya Script. 8. Identification of Indic Scripts on Torn-Documents. 9. Script Identification A Han & Roman Script Perspective. 10 Font Identification In Context of an Indic Script. Bibliography. A. Appendix.
606			_aINFORMÁTICA FORENSE _9326850
606			_aDOCUMENTO ELECTRÓNICO _9241596
606			_aPROCESSAMENTO DE TEXTO _9348210
606			_aTESE _9334284
606			_aNORUEGA _9334326
700			_aCHANDA _bSukalpa _9357748
955			_xOferta