Using codebooks of fragmented connected-component contours in forensic and historic writer identification

Pattern Recognition Letters

Volumn 28, Issue 6, 2007, Pages 719-727

  Schomaker, Lambert ^a   Franke, Katrin ^b   Bulacu, Marius ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b FRAUNHOFER INSTITUTE FOR PRODUCTION SYSTEMS AND DESIGN TECHNOLOGY IPK   (Germany)

Author keywords

Author identification; Cursive script segmentation; Writer identification

Indexed keywords

ALGORITHMS; CODES (SYMBOLS); IMAGE ANALYSIS; INFORMATION RETRIEVAL; PROBABILITY DISTRIBUTIONS; SENSITIVITY ANALYSIS; STATISTICAL METHODS;

AUTHOR IDENTIFICATION; CODEBOOKS; CURSIVE SCRIPT SEGMENTATION; WRITER IDENTIFICATION;

CHARACTER RECOGNITION;

EID: 33846530667     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2006.08.005     Document Type: Article

References (20)

1. Bensefia A., Paquet T., and Heutte L. Information retrieval-based writer identification. 7th Internat. Conf. on Document Analysis and Recognition (ICDAR 2003), 3-6 August 2003, Edinburgh, Scotland, UK (2003), IEEE Computer Society 946-950
2. Bulacu M., Schomaker L., and Vuurpijl L. Writer identification using edge-based directional features. Proc. ICDAR'2003: Internat. Conf. on Document Analysis and Recognition (2003), IEEE Computer Society 937-941
3. Bulacu, M., Schomaker, L., 2003. Writer style from oriented edge fragments. In: Proc. 10th Internat. Conf. on Computer Analysis of Images and Patterns, pp. 460-469.
4. Davis G., and Nosratinia A. Wavelet-based image coding: an overview. Applied and Computational Control, Signals, and Circuits 1 1 (1998) 205-269
5. El-Yacoubi A., Sabourin R., Suen C.Y., and Gilloux M. An hmm-based approach for off-line unconstrained handwritten word modeling and recognition. IEEE Trans. Pattern Anal Machine Intell. 21 8 (1999) 752-760
6. Franke K., and Köppen M. A computer-based system to support forensic studies on handwritten documents. Internat. J. Document Anal. Recognition 3 4 (2001) 218-231
7. Franke K., Zhang Y.-N., and Köppen M. Static signature verification employing a Kosko-Neuro-Fuzzy approach. In: Pal N., and Sugeno M. (Eds). Advances in Soft Computing-AFSS 2002. LNAI 2275 (2002), Springer-Verlag 185-190
8. Guyon, I., Schomaker, L., Plamondon, R., Liberman, R., Janet, S., 1994. Unipen project of on-line data exchange and recognizer benchmarks, In: Proc. 12th Internat. Conf. on Pattern Recognition, ICPR'94, IAPR-IEEE, Jerusalem, Israel, pp. 29-33.
9. Kohonen T. Self-Organization and Associative Memory. second ed. (1988), Springer Verlag, Berlin
10. Marti U.-V., Messerli R., and Bunke H. Writer identification using text line based features. Proc. 6th Internat. Conf. on Document Analysis and Recognition (ICDAR '01) (2001), IEEE Computer Society 101-105
11. Said H., Tan T., and Baker K. Writer identification based on handwriting. Pattern Recognition 33 1 (2000) 133-148
12. Schomaker L.R.B. Using stroke- or character-based self-organizing maps in the recognition of on-line, connected-cursive script. Pattern Recognition 26 3 (1993) 443-450
13. Schomaker L. From handwriting analysis to pen-computer applications. IEE Electron. Commun. Eng. J. 10 3 (1998) 93-102
14. Schomaker L., and Bulacu M. Automatic writer identification using connected-component contours and edge-based features of upper-case western script. IEEE Trans. Pattern Anal. Machine Intell. 26 6 (2004) 787-798
15. Schomaker L., Bulacu M., and van Erp M. Sparse-parametric writer identification using heterogeneous feature groups. Proc. IEEE Internat. Conf. on Image Processing. (ICIP'03) vol. I (2003), IEEE Computer Society 545-548 (I)
16. Srihari S., Cha S., Arora H., and Lee S. Individuality of handwriting. J. Forensic Sci. 47 4 (2002) 1-17
17. van Erp, M., Vuurpijl, L., Franke, K., Schomaker, L., 2003. The WANDA measurement tool for forensic document examination. In: Proc. IGS'2003, Scottsdale, Arizona, pp. 282-285.
18. Vuurpijl L., and Schomaker L. Finding Structure in Diversity: A Hierarchical Clustering Method for the Categorization of Allographs in Handwriting. ICDAR (1997), IEEE Computer Society 387-393
19. Vuurpijl L., Schomaker L., and Erp V. Architecture for detecting and solving conflicts: two-stage classification and support vector classifiers. Internat. J. Document Anal. Recognition 5 4 (2003) 213-223
20. Wanda: A generic framework applied in forensic handwriting analysis and writer identification. In: Proc. 9th IWFHR, Tokyo, Japan, IEEE Computer Society, 2004.