Camera-based degraded character segmentation into individual components

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2005, Issue , 2005, Pages 755-759

  Mancas Thillou, Céline ^a   Mancas, Matei ^a   Gosselin, Bernard ^a  

^a FACULTÉ POLYTECHNIQUE DE MONS   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; IMAGE SEGMENTATION; INFORMATION USE; PERSONAL DIGITAL ASSISTANTS; PROBLEM SOLVING;

CAMERA BASED IMAGES; CHARACTER SEGMENTATION; COLOR CLUSTERING APPROACH; LOG GABOR FILTERS;

CHARACTER RECOGNITION;

EID: 33947410821     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.63     Document Type: Conference Paper

References (8)

1. st, 2005 from http://algoval.essex.ac.uk/icdar/RobustWord.html.
2. R. Casey and E. Lecolinet, "A survey of methods and strategies in character segmentation", IEEE Trans. On Pattern Analysis and Mach. Intel., vol.18, 1996, pp.690-706.
3. H. Kim, "Segmentation-Free Printed Character Recognition by Relaxed Nearest Neighbor Learning of Windowed Operator", Proc. Sibgrapi - Brazilian Symp. on Comp. Graph. and Image Proc., 1999, pp. 195-204.
4. C. Thillou and B. Gosselin, "Color Binarization for complex camera-based images", Proc. of the Electronic Imaging Conference of SPIE/IS&T, 2005, pp. 301-308.
5. D.H. Hubel, "Eye, Brain, and Vision", Scientific American Library, no22, 1988.
6. D.J. Field, "Relations between the statistics of natural images and the response properties of cortical cells", Jour. of the Optical Society of America, 1987, pp. 2379-2394.
7. P. Kovesi, "Image Features From Phase Congruency", Videre: A Journal of Computer Vision Research, vol. 1, 1999.
8. N. Otsu, "A thresholding selection method from gray-level histogram", IEEE Trans. on Systems, Man, and Cybernetics, 1979, pp. 62-66.