Automatic name extraction from degraded document images

Pattern Analysis and Applications

Volumn 9, Issue 2-3, 2006, Pages 211-227

  Likforman Sulem, Laurence ^a   Vaillant, Pascal ^a,b   De Bodard De La Jacopière, Aliette ^a  

^a INSTITUT TELECOM   (France)

^b UNIVERSITÉ DES ANTILLES ET DE LA GUYANE   (France)

Author keywords

Document image analysis; Document understanding; Facsimile processing; Journal title pages; Name extraction; Neural Networks; Visual clues

Indexed keywords

EID: 33749327642     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-006-0038-6     Document Type: Article

References (34)

1. Vinot R, Yvon F (2001) Semi-automatic response in a Mail Center. In: Proceedings of the 10th international symposium on applied stochastic models and data analysis. ASMDA 2001, Compiègne (France), pp 992-997
2. Sakkis G, Androutsopoulos I, Paliouras G, Karkaletsis V, Spyropoulos CD, Stamatopoulos P (2001) Stacking classifiers for anti-spam filtering of e-mail, 6th conference on empirical methods in natural language processing, Carnegie Mellon University, Pittsburgh, pp 44-50
3. Gravier G, Yvon F, Ettore G, Chollet G (1997) Directory name retrieval using HMM modelling and robust lexical access. In: Proceedings of the IEEE Workshop on automatic speech recognition and understanding, Santa Barbara
4. Leibowitz-Taylor S, Fritzon R, Pastor JA (1992) Extraction of data from preprinted forms. Mach Vis Appl 5(3):211-222
5. Casey R, Ferguson D, Mohiuddin K, Walach E (1992) Intelligent forms processing system. Mach Vis Appl 5(3):141-155
6. Koch G, Heutte L, Paquet T (2005) Automatic extraction of numerical sequences in handwritten incoming mail documents. Pattern Recogn Lett 26:1118-1127
7. Baumann S, Ali M, Dengel A, Jäger T, Malburg M, Weigel A, Wenzel C (1997) Message extraction from printed documents: a complete solution, 4th ICDAR. Ulm (Germany), pp 1055-1059
8. Cesarini F, Gori M, Marinai S, Soda G (1998) INFORMys : a flexible invoice-like form reader system. IEEE PAMI 20(7):730-745
9. Cesarini F, Francesconi E, Gori M, Soda G (2003) Analysis and understanding of multi-class invoices. IJDAR 6:102-104
10. Liang J, Doermann D (2002) Logical Labeling of Document Images using layout graph matching with adaptive learning. In: Lopresti D, Hu J, Kashi R (eds) DAS, Princeton, pp 224-235
11. Dengel A, Barth G (1988) High level document analysis guided by geometric aspects. IJPR 2(4):641-655
12. Kim J, Le DX, Thoma GR (2001) Automatic labeling in document images. In: IS&T/SPIE conference on document recognition and retrieval VIII, San Jose, pp 111-122
13. Lin X (2005) DDR research beyond COTS OCR software: a survey. In: IS&T/SPIE conference on document recognition and retrieval XII. San Jose, 2005, pp 16-20
14. De Silva GL, Hull J (1994) Proper noun detection in document images. Pattern Recogn 27(2)311-320
15. Lii J, Srihari SN (1995) Location of name and address on fax cover pages, 3rd ICDAR. Montréal (Québec, Canada), pp 756-759
16. Alam H, Hartono R, Sugono Y, Tran T (2000) FaxAssist : an automatic routing of unconstrained fax to email location. In: IS&T/SPIE conference on document recognition and retrieval XI, San José, pp 148-156
17. Viola P, Rinker J, Law M (2004) Automatic fax routing. In: Proceedings of document analysis systems, DAS 2004, pp 484-495
18. Faure C (2000) Extracting the tables of contents from the images of documents. In: Proceedings of RIAO, Paris
19. Klink S, Kieninger T (2001) Rule-based document structure understanding with a fuzzy combination of layout and textual features. IJDAR 4:18-26
20. Xerox (1994) ScanWorX API release notes. Xerox imaging systems
21. Wong KY, Casey R, Wahl F (1982) Document analysis system. IBM J Res Dev 6:642-656
22. Palumbo P, Srihari S, Soh J, Sridhar R, Demjanenko V (1992) Postal address block location in real time. Computer 25(7):34-42
23. Fan K-C, Wang L-S, Tu Y-T (1998) Classification of machine printed and handwritten texts using character block layout variance. Pattern Recogn 31(9):1275-1284
24. Bishop C (1995) Neural networks for pattern recognition. Oxford University Press, Oxford
25. Lowe D, Webb AR (1990) Exploiting prior knowledge in network optimization: an illustration from medical prognosis. Network 1:299-323
26. Faussett L (1994) Fundamentals of Neural Networks. Prentice Hall, Englewood Cliffs
27. Bruce V, Green P, Georgeson M (2003) Visual perception: physiology, psychology and ecology. Psychology Press, Hove (East Sussex), UK
28. Holstege M, Inn Y, Tokuda L (1991) Visual parsing: an aid to text understanding. In: Proceedings of RIAO'91, Barcelone, pp 175-193
29. ABU, Association des Bibliophiles Universels, on http://www.abu.cnam.fr/
30. Kelk B (2003) UK English wordlist with frequency classification, version 1.0, 1 February 2003, on http://www.bck-elk.uklinux.net/menu.html
31. Bikel D, Schwartz R, Weischedel R (1999) An algorithm that learns what's in a Name. Mach Learn 34:1-3, 211-231
32. Likforman-Sulem L, Chollet G, Vaillant P, Azzabou N, Blouet R, Renouard S, Mostefa D (2004) Reconnaissance de noms propres et vérification d'identité dans un système de messagerie, convention Minefi no 01.2.93.0268, Final Report, January 2004, 100 p
33. Askilrud ES, Haralick RM (1993) A quick guide to uw english document image database I. Department of Electrical Engineering, Department of Computer Science/Software Engineering, University of Washington
34. Alvarez S (2002) An exact analytical relation among recall, precision and classification accuracy in information retrieval. Technical Report, Computer Science Department, Boston College