ICDAR2009 handwriting segmentation contest

International Journal on Document Analysis and Recognition

Volumn 14, Issue 1, 2011, Pages 25-33

  Gatos, B ^a   Stamatopoulos, N ^a   Louloudis, G ^a  

^a INSTITUTE OF INFORMATICS AND TELECOMMUNICATIONS   (Greece)

Author keywords

Document image processing evaluation; Handwritten text line segmentation; Handwritten word segmentation

Indexed keywords

DATA SETS; DOCUMENT IMAGE PROCESSING; EVALUATION CRITERIA; GROUND TRUTH; HANDWRITING SEGMENTATION; HANDWRITTEN DOCUMENT; HANDWRITTEN TEXT LINE SEGMENTATION; HANDWRITTEN WORDS; OFFLINE HANDWRITING; SEGMENTATION ALGORITHMS; TEXT LINES; TWO-STATE; WORD SEGMENTATION;

ALGORITHMS; COMPUTATIONAL LINGUISTICS; IMAGE MATCHING; IMAGING SYSTEMS;

IMAGE SEGMENTATION;

EID: 79952100387     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-010-0122-8     Document Type: Article

References (18)

1. Gatos, B., Antonacopoulos, A., Stamatopoulos, N.: ICDAR2007 handwriting segmentation contest. In: 9th International Conference on Document Analysis and Recognition (ICDAR'07), pp. 1284-1288. Curitiba, Brazil, September (2007).
2. Antonacopoulos, A., Gatos, B., Bridson, D.: ICDAR2007 page segmentation competition. In: 9th International Conference on Document Analysis and Recognition (ICDAR'07), pp. 1279-1283. Curitiba, Brazil, September (2007).
3. Antonacopoulos, A., Gatos, B., Bridson, D.: ICDAR2005 page segmentation competition. In: 8th International Conference on Document Analysis and Recognition (ICDAR'05), pp. 75-79. Seoul, Korea, August (2005).
4. http://www. iit. demokritos. gr/~bgat/HandSegmCont2009/Benchmark.
5. Phillips I., Chhabra A.: Empirical performance evaluation of graphics recognition systems. IEEE Trans. Pattern Anal. Mach. Intell. 21(9), 849-870 (1999).
6. Yin, F., Liu, C.-L.: Handwritten text line segmentation by clustering with distance metric learning. Proceedings of 11th International Conference on Frontiers in Handwriting Recognition, pp. 229-234. Montreal, Canada, August (2008).
7. Shi, Z., Setlur, S., Govindaraju, V.: Text extraction from gray scale historical document images using adaptive local connectivity map. In: 8th International Conference on Document Analysis and Recognition, (ICDAR'05), pp. 794-798. Seoul, Korea, August (2005).
8. Shi, Z., Setlur, S., Govindaraju, V.: A steerable directional local profile technique for extraction of handwritten arabic text lines, to appear in 10th International Conference on Document Analysis and Recognition (ICDAR'09), Spain, July (2009).
9. Stafylakis T., Papavassiliou V., Katsouros V., Carayannis G.: Handwritten document image segmentation into text lines and words. Pattern Recognit. 43(1), 369-377 (2010).
10. http://olena. lrde. epita. fr/ModuleIcdar.
11. Kavallieratou E., Dromazou N., Fakotakis N., Kokkinakis G.: An integrated system for handwritten document image processing. Int. J. Pattern Recognit. Artif. Intell. 17(4), 101-120 (2003).
12. Kavallieratou, E., Fakotakis, N., Kokkinakis, G. (2002) An Off-line unconstrained handwriting recognition system. Int. J. Document Anal. Recognit. (4), 226-242.
13. Cardoso, J. S., Capela, A., Rebelo, A., Guedes, C.: A connected path approach for staff detection on a music score. Proceedings of the International Conference on Image Processing (ICIP 2008), pp. 1005-1008. San Diego, USA, October (2008).
14. Konidaris T., Gatos B., Ntzios K., Pratikakis I., Theodoridis S., Perantonis S. J.: Keyword-guided word spotting in historical printed documents using synthetic data and user feedback. Int. J. Document Anal. Recognit. (IJDAR) 9(2-4), 167-177 (2007).
15. Antonacopoulos, A., Karatzas D. (2005) Semantics-based content extraction in typewritten historical documents. Eighth International Conference on Document Analysis and Recognition, pp. 48-53.
16. Giuliano, E., Paitra, O., Stringa, L.: Electronic character reading system. U. S. Patent No. 4047152, September (1977).
17. Burges C. J. C.: A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2(2), 121-167 (1998).
18. Alpaydin E.: Introduction to Machine Learning. The MIT Press, Cambridge, USA (2004).