Segmentation of heterogeneous document images : an ... - Tel
Segmentation of heterogeneous document images : an ... - Tel
Segmentation of heterogeneous document images : an ... - Tel
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
[52] Y. Li, Y. Zheng, D. Doerm<strong>an</strong>n, <strong>an</strong>d S. Jaeger. A new algorithm for detecting<br />
text line in h<strong>an</strong>dwritten <strong>document</strong>s. In 10th International Workshop<br />
on Frontiers in H<strong>an</strong>dwriting Recognition (IWFHR 2006), pages 35–40,<br />
2006.<br />
[53] Y. Li, Y. Zheng, D. Doerm<strong>an</strong>n, <strong>an</strong>d S. Jaeger. Script-independent text<br />
line segmentation in freestyle h<strong>an</strong>dwritten <strong>document</strong>s. IEEE Tr<strong>an</strong>sactions<br />
on Pattern Analysis <strong>an</strong>d Machine Intelligence, 30(8):1313–1329, 2008.<br />
[54] L. Likform<strong>an</strong>-Sulem, A. Zahour, <strong>an</strong>d B. Taconet. Text line segmentation<br />
<strong>of</strong> historical <strong>document</strong>s: a survey. 9th International Conference on Document<br />
Analysis <strong>an</strong>d Recognition (ICDAR ’07), 9(2-4):123–138, September<br />
2006.<br />
[55] C. Liu <strong>an</strong>d J. Nocedal. On the limited memory BFGS method for large<br />
scale optimization. Journal <strong>of</strong> Mathematical Programming, 45(1-3):503–<br />
528, 1989.<br />
tel-00912566, version 1 - 2 Dec 2013<br />
[56] G. Louloudis, B. Gatos, I. Pratikakis, <strong>an</strong>d C. Halatsis. A block-based<br />
hough tr<strong>an</strong>sform mapping for text line detection in h<strong>an</strong>dwritten <strong>document</strong>s.<br />
In 10th International Workshop on Frontiers in H<strong>an</strong>dwriting<br />
Recognition (IWFHR 2006), number i, pages 515–520, 2006.<br />
[57] G. Louloudis, B. Gatos, I. Pratikakis, <strong>an</strong>d C. Halatsis. Text line detection<br />
in h<strong>an</strong>dwritten <strong>document</strong>s. Pattern Recognition, 41(12):3758–3772,<br />
December 2008.<br />
[58] G. Louloudis, B. Gatos, I. Pratikakis, <strong>an</strong>d C. Halatsis. Text line <strong>an</strong>d<br />
word segmentation <strong>of</strong> h<strong>an</strong>dwritten <strong>document</strong>s. Pattern Recognition,<br />
42(12):3169–3183, December 2009.<br />
[59] S. M. Lucas. ICDAR2005 Text locating competition results. 8th International<br />
Conference on Document Analysis <strong>an</strong>d Recognition (ICDAR ’05),<br />
pages 80–84, 2005.<br />
[60] J. Makhoul, F. Kubala, R. Schwartz, <strong>an</strong>d R. Weischedel. Perform<strong>an</strong>ce<br />
measures for information extraction. In Proceedings <strong>of</strong> DARPA Broadcast<br />
News Workshop, page 249, 1999.<br />
[61] V. Malleron, V. Eglin, <strong>an</strong>d H. Emptoz. Hierarchical decomposition <strong>of</strong><br />
h<strong>an</strong>dwritten m<strong>an</strong>uscripts layouts. CAIP ’09 Proceedings <strong>of</strong> the 13th International<br />
Conference on Computer Analysis <strong>of</strong> Images <strong>an</strong>d Patterns,<br />
pages 221–228, 2009.<br />
[62] R. M<strong>an</strong>matha <strong>an</strong>d J. Rothfeder. A scale space approach for automatically<br />
segmenting words from historical h<strong>an</strong>dwritten <strong>document</strong>s. IEEE Tr<strong>an</strong>sactions<br />
on Pattern Analysis <strong>an</strong>d Machine Intelligence, tell27(8):1212–1225,<br />
2005.<br />
[63] I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz, <strong>an</strong>d T. Euler. YALE:<br />
rapid prototyping for complex data mining tasks. In 12th ACM SIGKDD<br />
international conference on Knowledge discovery <strong>an</strong>d data mining, volume<br />
2006 <strong>of</strong> KDD ’06, pages 935–940. University <strong>of</strong> C<strong>an</strong>terbury, ACM, 2006.<br />
122
Change language