Publications

1. Itay Bar Yosef, Klara Kedem, Its'hak Dinstein, Malachi Beit-Arie, Edna Engel, ''Classification of Hebrew Calligraphic Handwriting Styles: Preliminary Results'', First International Workshop on Document Image Analysis for Libraries (DIAL), Palo Alto, California, 2004, pp. 299-305

2. Itay Bar Yosef, ''Input Sensitive Thresholding for Ancient Hebrew Manuscript'', Pattern Recognition Letters 26(8), 2005, pp. 1168-1173

3. Itay Bar Yosef, Isaac Beckman, Klara Kedem, Its'hak Dinstein, ''Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts'', Eighth International Conference on Document Analysis and Recognition (ICDAR) 2005, pp. 878-882.

4. Itay Bar Yosef, Isaac Beckman, Klara Kedem, Its'hak Dinstein, ''Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents'', International Journal on Document Analysis and Recognition (IJDAR) Vol. 9, 2007, pp. 89-99.

5. Itay Bar Yosef, Nate Hagbi, Klara Kedem, Its'hak Dinstein, ''Fast and Accurate Skew Estimation Based on Distance transform'', The Eighth International Workshop on Document Analysis Systems(DAS), Nara, Japan, 2008, pp. 402-407.

6. Itay Bar Yosef, Alik Mokeichev, Klara Kedem, Itshak Dinstein, ''Global and Local Shape Prior for Variational Segmentation of Degraded Historical Characters, Eleventh International Conference on Frontiers in Handwriting Recognition (ICFHR), Montr?al, Canada, 2008, pp.198-203.

7. Itay Bar Yosef, Alik Mokeichev, Klara Kedem, Itshak Dinstein, ''Adaptive Shape Prior for Recognition and Variational Segmentation of Degraded Historical Characters. Pattern Recognition, Vol 42, 2009, pp. 3348-3354

8. Itay Bar Yosef, Nate hagbi,Klara Kedem, Itshak Dinstein, ''Text line segmentation for degraded handwritten historical documents. Tenth International Conference on Document Analysis and Recognition (ICDAR) 2009, pp. 1161-1165

9. R. F. Moghaddam, D. Rivest-Henault, I. Bar-Yosef and M. Cheriet, ''A unified framework based on the level set approach for segmentation of unconstrained double-sided document images suffering from bleed-through''. Tenth International Conference on Document Analysis and Recognition (ICDAR) 2009, pp.441-445