Multi-scale structural saliency for signature detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Zhu, Guangyu ^a   Zheng, Yefeng ^b   Doermann, David ^a   Jaeger, Stefan ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; TWO DIMENSIONAL;

JOINT DETECTION; MACHINE PRINTED DOCUMENTS; SIGNATURE DETECTION; STRUCTURAL SALIENCY;

OBJECT RECOGNITION;

EID: 34948816131     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383255     Document Type: Conference Paper

References (24)

1. The IIT complex document image processing (CDIP) test collection, http://ir.iit.edu/projects/CDIP.html, 2006.
2. The legacy tobacco document library (LTDL) at UCSF, http://legacy. library.ucsf.edu/, 2006.
3. T. Alter and R. Basri. Extracting salient curves from images: an analysis of the saliency network. Int. J. Computer Vision, 27(1):51-69, 1998.
4. J. Canny. A computational approach to edge detection. IEEE Trans. Pattern Anal. Machine Intell., 8(6):679-697, 1986.
5. S. Chen and S. Srihari. Use of exterior contours and word shape in off-line signature verification. In Proc. Int. Conf. Document Analysis and Recog., pages 1280-1284, 2005.
6. D. Doermann and A. Rosenfeld. Recovery of temporal information from static images of handwriting. Int. J. Computer Virion, 15(1-2): 143-164, 1995.
7. J. Elder and S. Zucker. The effect of contour closure on the rapid discrimination of two-dimensional shapes. Vision Res., 33(7):981-991, 1993.
8. K. Guo. Forgery detection by local correspondence. PhD thesis, University of Maryland, College Park, 2000.
9. G. Guy and G. Medioni. Inferring global perceptual contours from local features. Int. J. Computer Vision, 20(1-2): 113-133, 1996.
10. M. Kalera, S. Srihari, and A. Xu. Off-line signature verification and identification using distance statistics. Int. J. Pattern Recog. and Artificial Intell., 18(7): 1339-1360, 2004.
11. D. Lewis, G. Agam, S. Argamon, O. Frieder, D. Grossman, and J. Heard. Building a test collection for complex document information processing. SIGIR, pages 665-666, 2006.
12. T. Lindeberg. Edge detection and ridge detection with automatic scale selection. Int. J. Computer Vision, 30(2):77-116, 1996.
13. E. Maxwell. The Methods of Plane Projective Geometry Based on the Use of General Homogeneous Coordinates. Cambridge Univ. Press, 1946.
14. M. Munich and P. Perona. Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification. In Proc. Int. Conf. Computer Vision, pages 108-115, 1999.
15. P. Parent and S. Zucker. Trace inference, curvature consistency, and curve detection. IEEE Trans. Pattern Anal. Machine Intell., 11(8):823-839, 1989.
16. R. Plamondon and S. Srihari. On-line and off-line handwriting recognition: a comprehensive survey. IEEE Trans. Pattern Anal. Machine Intell., 22(1):63-84, 2000.
17. M. Roth, S. Jaeger, and D. Doermann. GEDI: Ground truth editor and document interface. Summit on Arabic and Chinese Handwriting Recognition, 2006.
18. R. Sabourin, G. Genest, and F. Preteux. Off-line signature verification by local granulometric size distributions. IEEE Trans. Pattern Anal. Machine Intell., 19(9):976-988, 1997.
19. P. Saint-Marc, H. Rom, and G. Medioni. B-spline contour representation and symmetry detection. IEEE Trans. Pattern Anal. Machine Intell., 15(11): 1191-1197, 1993.
20. A. Sha'ashua and S. Ullman. Structural saliency: the detection of globally salient structures using a locally connected network. In Proc. Int. Conf. Computer Vision, pages 321-327, 1988.
21. J. Shotton, A. Blake, and R. Cipolla. Contour-based learning for object detection. In Proc. Int. Conf. Computer Vision, pages 503-510, 2005.
22. K. Turkowski. Filters for common resampling tasks. Graphics Gems I, pages 147-165, 1990.
23. L. Williams and D. Jacobs. Stochastic completion fields: a neural model of illusory contour shape and salience. Neural Computation, 9:849-870, 1997.
24. L. Williams and K. Thornber. A comparison of measures for detecting natural shapes in cluttered backgrounds. Int. J. Computer Vision, 33(2-3):81-96, 2000.