Recognition and classification of figures in PDF documents

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3926 LNCS, Issue , 2006, Pages 231-242

  Shao, Mingyan ^a   Futrelle, Robert P ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

Author keywords

Boosting; Graphemes; Graphics Recognition; Machine Learning; PDF; Vector Graphics

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; JAVA PROGRAMMING LANGUAGE; LEARNING SYSTEMS; OBJECT RECOGNITION; VECTORS;

BOOSTING; GRAPHICS RECOGNITION; PDF DOCUMENTS; VECTOR GRAPHICS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 33749029246     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11767978_21     Document Type: Conference Paper

References (19)

1. Ablameyko, S., Pridmore, T.: Machine interpretation of line drawing images: technical drawings, maps, and diagrams. Springer (2000)
2. Tombre, K., Tabbone, S.: Vectorization in graphics recognition: To thin or not to thin. In: Proceedings of 15th International Conference on Pattern Recognition. Volume 2. (2000) 91-96
3. Lladós, J., Kwon, Y.B., eds.: Graphics Recognition, Recent Advances and Perspectives, 5th International Workshop, GREC 2003, Barcelona, Spain, July 30-31, 2003, Revised Selected Papers. In Lladós, J., Kwon, Y.B., eds.: GREC. Volume 3088 of Lecture Notes in Computer Science., Springer (2004)
4. Hadjar, K., Rigamonti, M., Lalanne, D., Ingold, R.: Xed: A new tool for extracting hidden structures from electronic documents. In: First International Workshop on Document Image Analysis for Libraries (DIAL'04). (2004) 212-224
5. Dengel, A.: Making documents work: Challenges of document understanding. In: Proceedings ICDAR'03, 7nd Int'l Conference on Document Analysis and Recognition, Edinburgh, Scotland (2003) 1026-1035 Key Note Paper.
6. Huang, W., Tan, C.L., Leow, W.K.: Model-based chart image recognition. In: GREC'03. (2003) 87-99
7. Chao, H., Fan, J.: Layout and content extraction for PDF documents. In: Document Analysis Systems (DAS). (2004) 213-224
8. Futrelle, R.P.: Strategies for diagram understanding: Object/spatial data structures, animate vision, and generalized equivalence. In: 10th ICPR, IEEE Press. (1990) 403-408
9. Futrelle, R.P., Nikolakis, N.: Efficient analysis of complex diagrams using constraint-based parsing. In: ICDAR'95. (1995) 782-790
10. Futrelle, R.P., Shao, M., Cieslik, C., Grimes, A.E.: Extraction, layout analysis and classification of diagrams in PDF documents. In: ICDAR'03. (2003) 1007-1014
11. Luo, Y., Liu, W.: Interactive recognition of graphic objects in engineering drawings. In: GREC'03. (2003) 128-141
12. Hardy, M., Brailsford, D., Thomas, P.: Creating structured PDF files using xml templates. In: In Proceedings of the ACM Symposium on Document Engineering (DocEng'04), Milwaukee, USA, ACM Press (2004) 99-108
13. Futrelle, R.P.: Ambiguity in visual language theory and its role in diagram parsing. In: VL'99. (1999) 172-175
14. Futrelle, R.P., Kakadiaris, I.A., Alexander, J., Carriero, C.M., Nikolakis, N., Futrelle, J.M.: Understanding diagrams in technical documents. IEEE Computer 25 (1992) 75-78
15. Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques. 2nd edn. Morgan Kaufmann,San Francisco (2005)
16. Etymon: (Pjx 1.2) http://www.etymon.com/epub.html.
17. Chok, S.S., Marriott, K.: Automatic generation of intelligent diagram editors. ACM Trans. Comput.-Hum. Interact. 10 (2003) 244-276
18. Futrelle, R.P.: (http://www.ccs.neu.edu/home/futrelle/diagrams/demo-10- 98/) The Diagram Understanding System Demonstration Site.
19. Shao, M., Futrelle, R.P.: Moment-based object models for vectorizaiton. In: IAPR Conference on Machine Vision Applications (MVA2005). (2005) 471-475