Word detection applied to images of ancient Roman coins

Proceedings of the 2012 18th International Conference on Virtual Systems and Multimedia, VSMM 2012: Virtual Systems in the Information Society

Volumn , Issue , 2012, Pages 577-580

  Kavelar, Albert ^a   Zambanini, Sebastian ^a   Kampel, Martin ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

character recognition; Computer vision; local image features

Indexed keywords

CHARACTER SEGMENTATION; DETECTION RATES; LOCAL IMAGE FEATURES; PICTORIAL STRUCTURES; SIFT FEATURE; WORD RECOGNITION;

CHARACTER RECOGNITION; COMPUTER VISION; OPTICAL CHARACTER RECOGNITION;

INFORMATION SCIENCE;

EID: 84872012132     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VSMM.2012.6365981     Document Type: Conference Paper

References (17)

1. R. Plamondon and S. N. Srihari, "On-line and off-line handwriting recognition: A comprehensive survey," PAMI, vol. 22, no. 1, pp. 63-84, 2000.
2. A. Vinciarelli, "A survey on off-line cursive word recognition," Pattern Recognition, vol. 35, no. 7, pp. 1433-1446, 2002.
3. K. Wang and S. Belongie, "Word spotting in the wild," in ECCV, 2010, pp. 591-604.
4. M. Diem and R. Sablatnig, "Recognition of degraded handwritten characters using local features," in ICDAR, 2009, pp. 221-225.
5. A. Amin and S. Wu, "Robust skew detection in mixed text/graphics documents," in ICDAR, 2005, pp. 247-251.
6. T. E. de Campos, B. R. Babu, and M. Varma, "Character recognition in natural images," in VISAPP, vol. 18, no. 2, 2009, pp. 133 - 140.
7. K. Wang, B. Babenko, and S. Belongie, "End-to-end scene text recognition," in ICCV, 2011, pp. 1457-1464.
8. M. Merler, C. Galleguillos, and S. Belongie, "Recognizing groceries in situ using in vitro training data," in CVPR, 2007, pp. 1-8.
9. M. Zaharieva, M. Kampel, and S. Zambanini, "Image based recognition of ancient coins," in CAIP, ser. LNCS, no. 4673, 2007, pp. 547-554.
10. R. Huber-Mörk, S. Zambanini, M. Zaharieva, and M. Kampel, "Identification of ancient coins based on fusion of shape and local features," Machine Vision Applications, vol. 22, pp. 983-994, 2011.
11. O. D. Arandjelovic, "Automatic attribution of ancient roman imperial coins," in CVPR, 2010, pp. 1728-1734.
12. D. G. Lowe, "Object recognition from local scale-invariant features," in ICCV, 1999, pp. 1150 - 1157.
13. Z. Zhang, L. Jin, K. Ding, and X. Gao, "Character-sift: A novel feature for offline handwritten chinese character recognition." in ICDAR, 2009, pp. 763-767.
14. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in CVPR, 2005, pp. 886-893.
15. P. F. Felzenszwalb and D. P. Huttenlocher, "Pictorial structures for object recognition," IJCV, vol. 61, no. 1, pp. 55-79, 2005.
16. P. Clark and M. Mirmehdi, "Recognising text in real scenes," IJDAR, vol. 4, no. 4, pp. 243-257, 2002.
17. D. Chen, H. Bourlard, and J.-P. Thiran, "Text identification in complex background using svm," in CVPR, 2001, pp. 621-626.