{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:24:44Z","timestamp":1767338684998,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,5,21]],"date-time":"2022-05-21T00:00:00Z","timestamp":1653091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Israeli Ministery of Science, Technology and Space","award":["n. 3-16784"],"award-info":[{"award-number":["n. 3-16784"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>Paleography is the study of ancient and medieval handwriting. It is essential for understanding, authenticating, and dating historical texts. Across many archives and libraries, many handwritten manuscripts are yet to be classified. Human experts can process a limited number of manuscripts; therefore, there is a need for an automatic tool for script type classification. In this study, we utilize a deep-learning methodology to classify medieval Hebrew manuscripts into 14 classes based on their script style and mode. Hebrew paleography recognizes six regional styles and three graphical modes of scripts. We experiment with several input image representations and network architectures to determine the appropriate ones and explore several approaches for script classification. We obtained the highest accuracy using hierarchical classification approach. At the first level, the regional style of the script is classified. Then, the patch is passed to the corresponding model at the second level to determine the graphical mode. In addition, we explore the use of soft labels to define a value we call squareness value that indicates the squareness\/cursiveness of the script. We show how the graphical mode labels can be redefined using the squareness value. This redefinition increases the classification accuracy significantly. Finally, we show that the automatic classification is on-par with a human expert paleographer.<\/jats:p>","DOI":"10.3390\/jimaging8050143","type":"journal-article","created":{"date-parts":[[2022,5,21]],"date-time":"2022-05-21T09:18:08Z","timestamp":1653124688000},"page":"143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Digital Hebrew Paleography: Script Types and Modes"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8458-1022","authenticated-orcid":false,"given":"Ahmad","family":"Droby","sequence":"first","affiliation":[{"name":"Department of Computer Science, Ben-Gurion University of the Negev, Be\u2019er Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8542-8342","authenticated-orcid":false,"given":"Irina","family":"Rabaev","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, Shamoon College of Engineering, Be\u2019er Sheva 8410802, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4257-7882","authenticated-orcid":false,"given":"Daria Vasyutinsky","family":"Shapira","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ben-Gurion University of the Negev, Be\u2019er Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7240-7286","authenticated-orcid":false,"given":"Berat","family":"Kurar Barakat","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ben-Gurion University of the Negev, Be\u2019er Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1164-7040","authenticated-orcid":false,"given":"Jihad","family":"El-Sana","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Ben-Gurion University of the Negev, Be\u2019er Sheva 8410501, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"He, S., Sammara, P., Burgers, J., and Schomaker, L. (2014, January 1\u20134). Towards style-based dating of historical documents. Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, Hersonissos, Greece.","DOI":"10.1109\/ICFHR.2014.52"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.cviu.2016.08.008","article-title":"Historical manuscript dating based on temporal pattern codebook","volume":"152","author":"He","year":"2016","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"He, S., Samara, P., Burgers, J., and Schomaker, L. (2016, January 23\u201326). Discovering visual element evolutions for historical document dating. Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, Shenzhen, China.","DOI":"10.1109\/ICFHR.2016.0015"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Fiel, S., and Sablatnig, R. (2013, January 25\u201328). Writer identification and writer retrieval using the fisher vector on visual vocabularies. Proceedings of the 12th International Conference on Document Analysis and Recognition, Washington, DC, USA.","DOI":"10.1109\/ICDAR.2013.114"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Christlein, V., Bernecker, D., Maier, A., and Angelopoulou, E. (2015). Offline Writer Identification Using Convolutional Neural Network Activation Features. German Conference on Pattern Recognition, Springer.","DOI":"10.1007\/978-3-319-24947-6_45"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Christlein, V., Gropp, M., Fiel, S., and Maier, A. (2017, January 9\u201315). Unsupervised feature learning for writer identification and writer retrieval. Proceedings of the 14th International Conference on Document Analysis and Recognition, Kyoto, Japan.","DOI":"10.1109\/ICDAR.2017.165"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hosoe, M., Yamada, T., Kato, K., and Yamamoto, K. (2018, January 5\u20138). Offline Text-Independent Writer Identification Based on Writer-Independent Model using Conditional AutoEncoder. Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, Niagara Falls, NY, USA.","DOI":"10.1109\/ICFHR-2018.2018.00083"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Vidal-Gor\u00e8ne, C., and Decours-Perez, A. (2021, January 5\u201310). A computational approach of Armenian paleography. Proceedings of the International Conference on Document Analysis and Recognition, Lausanne, Switzerland.","DOI":"10.1007\/978-3-030-86159-9_20"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Keglevic, M., Fiel, S., and Sablatnig, R. (2018, January 5\u20138). Learning Features for Writer Retrieval and Identification using Triplet CNNs. Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, Niagara Falls, NY, USA.","DOI":"10.1109\/ICFHR-2018.2018.00045"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Abdalhaleem, A., Barakat, B.K., and El-Sana, J. (2018, January 12\u201314). Case study: Fine writing style classification using siamese neural network. Proceedings of the 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, London, UK.","DOI":"10.1109\/ASAR.2018.8480212"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Studer, L., Alberti, M., Pondenkandath, V., Goktepe, P., Kolonko, T., Fischer, A., Liwicki, M., and Ingold, R. (2019, January 20\u201325). A comprehensive study of ImageNet pre-training for historical document image analysis. Proceedings of the International Conference on Document Analysis and Recognition, Sydney, Australia.","DOI":"10.1109\/ICDAR.2019.00120"},{"key":"ref_12","unstructured":"Simonyan, K., and Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A. (2015, January 7\u201312). Going deeper with convolutions. Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, Boston, MA, USA.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., and Sun, J. (2016, January 27\u201330). Deep residual learning for image recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA.","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., and Weinberger, K.Q. (2017, January 21\u201326). Densely connected convolutional networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Cloppet, F., \u00c9glin, V., Kieu, V.C., Stutzmann, D., and Vincent, N. (2016, January 23\u201326). ICFHR2016 competition on the classification of medieval handwritings in latin script. Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, Shenzhen, China.","DOI":"10.1109\/ICFHR.2016.0113"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Cloppet, F., Eglin, V., Helias-Baron, M., Kieu, C., Vincent, N., and Stutzmann, D. (2017, January 9\u201315). ICDAR2017 competition on the classification of medieval handwritings in latin script. Proceedings of the 14th International Conference on Document Analysis and Recognition, Kyoto, Japan.","DOI":"10.1109\/ICDAR.2017.224"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wolf, L., Potikha, L., Dershowitz, N., Shweka, R., and Choueka, Y. (2011, January 11\u201314). Computerized paleography: Tools for historical manuscripts. Proceedings of the 18th IEEE International Conference on Image Processing, Brussels, Belgium.","DOI":"10.1109\/ICIP.2011.6116481"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.patrec.2020.01.027","article-title":"Feature-extraction methods for historical manuscript dating based on writing style development","volume":"131","author":"Dhali","year":"2020","journal-title":"Pattern Recognit. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"St\u00f6kl Ben Ezra, D., Brown-DeVost, B., and Jablonski, P. (2021, January 5\u201310). Exploiting Insertion Symbols for Marginal Additions in the Recognition Process to Establish Reading Order. Proceedings of the International Conference on Document Analysis and Recognition, Lausanne, Switzerland.","DOI":"10.1007\/978-3-030-86159-9_22"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wecker, A.J., Schor, U., Elovits, D., Stoekl Ben Ezra, D., Kuflik, T., Lavee, M., Raziel-Kretzmer, V., Ohali, A., and Signoret, L. (2019, January 9\u201312). Tikkoun sofrim: A webapp for personalization and adaptation of crowdsourcing transcriptions. Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus.","DOI":"10.1145\/3314183.3324972"},{"key":"ref_22","unstructured":"Schor, U., Raziel-Kretzmer, V., Lavee, M., and Kuflik, T. (2021). Digital Research Library for Multi-Hierarchical Interrelated Texts: From \u2018Tikkoun Sofrim\u2019 Text Production to Text Modeling. Classics, 18, Available online: https:\/\/classics-at.chs.harvard.edu\/classics18-schor-raziel-kretzmer-lavee-kuflik\/."},{"key":"ref_23","unstructured":"Beit-Ari\u00e9, M. (2021). Hebrew Codicology, The Israel Academy of Sciences and Humanities. ZFDM Repository."},{"key":"ref_24","unstructured":"Beit-Ari\u00e9, M. (1981). Hebrew codicology. Tentative Typology of Technical Practices Employed in Hebrew Dated Medieval Manuscripts. Jerusalem, Israel Academy of Sciences and Humanities."},{"key":"ref_25","unstructured":"Beit-Ari\u00e9, M., and Engel, E. (1987). Specimens of Mediaeval Hebrew Scripts, in 3 Volumes, Israel Academy of Sciences and Humanities."},{"key":"ref_26","unstructured":"Sirat, C. (2002). Hebrew Manuscripts of the Middle Ages, Cambridge University Press."},{"key":"ref_27","unstructured":"Yardeni, A. (1997). The book of Hebrew Script: History, Palaeography, Script Styles, Calligraphy & Design, Oak Knoll Pr. Carta Jerusalem."},{"key":"ref_28","unstructured":"Richler, B., and Beit-Ari\u00e9, M. (2011). Palaeographical and codicological descriptions. Hebrew Manuscripts in the Biblioteca Palatina in Parma: Catalogue, Hebrew University of Jerusalem, Jewish National and University Library."},{"key":"ref_29","unstructured":"Richler, B. (2008). Hebrew manuscripts in the Vatican Library: Catalogue. Hebrew manuscripts in the Vatican Library, Biblioteca Apostolica Vaticana."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Droby, A., Kurar Barakat, B., Vasyutinsky Shapira, D., Rabaev, I., and El-Sana, J. (2021, January 5\u201310). VML-HP: Hebrew Paleography Dataset. Proceedings of the International Conference on Document Analysis and Recognition, Lausanne, Switzerland.","DOI":"10.1007\/978-3-030-86337-1_14"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Khan, S., Naseer, M., Hayat, M., Zamir, S.W., Khan, F.S., and Shah, M. (2021). Transformers in vision: A survey. ACM Comput. Surv. (CSUR).","DOI":"10.1145\/3505244"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., and Fei-Fei, L. (2009, January 20\u201325). Imagenet: A large-scale hierarchical image database. Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA.","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D. (2017, January 22\u201329). Grad-cam: Visual explanations from deep networks via gradient-based localization. Proceedings of the IEEE International Conference on Computer Vision, Venice, Italy.","DOI":"10.1109\/ICCV.2017.74"}],"container-title":["Journal of Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2313-433X\/8\/5\/143\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:16:11Z","timestamp":1760138171000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2313-433X\/8\/5\/143"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,21]]},"references-count":33,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["jimaging8050143"],"URL":"https:\/\/doi.org\/10.3390\/jimaging8050143","relation":{},"ISSN":["2313-433X"],"issn-type":[{"type":"electronic","value":"2313-433X"}],"subject":[],"published":{"date-parts":[[2022,5,21]]}}}