{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T10:18:54Z","timestamp":1753438734836,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031510250"},{"type":"electronic","value":"9783031510267"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-51026-7_36","type":"book-chapter","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T14:02:08Z","timestamp":1705759328000},"page":"422-436","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Novel Writer Identification Approach for\u00a0Greek Papyri Images"],"prefix":"10.1007","author":[{"given":"Nicole Dalia","family":"Cilia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiziana","family":"D\u2019Alessandro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio","family":"De Stefano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Fontanella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isabelle","family":"Marthot-Santaniello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario","family":"Molinara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandra","family":"Scotto Di Freca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,1,21]]},"reference":[{"key":"36_CR1","unstructured":"https:\/\/github.com\/readsoftware\/read"},{"key":"36_CR2","unstructured":"Aiolli, F., Ciula, A.: A case study on the system for paleographic inspections (SPI): challenges and new developments. In: Proceedings of the 2009 Conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita, pp. 53\u201366. IOS Press (2009)"},{"issue":"2","key":"36_CR3","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s10032-021-00386-0","volume":"25","author":"V Atanasiu","year":"2021","unstructured":"Atanasiu, V., Marthot-Santaniello, I.: Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions. Int. J. Doc. Anal. Recogn. (IJDAR) 25(2), 129\u2013160 (2021). https:\/\/doi.org\/10.1007\/s10032-021-00386-0","journal-title":"Int. J. Doc. Anal. Recogn. (IJDAR)"},{"key":"36_CR4","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1007\/978-3-031-19745-1_6","volume-title":"Intertwining Graphonomics with Human Movements","author":"V Christlein","year":"2022","unstructured":"Christlein, V., Marthot-Santaniello, I., Mayr, M., Nicolaou, A., Seuret, M.: Writer retrieval and writer identification in Greek papyri. In: Carmona-Duarte, C., Diaz, M., Ferrer, M.A., Morales, A. (eds.) Intertwining Graphonomics with Human Movements, pp. 76\u201389. Springer International Publishing, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19745-1_6"},{"key":"36_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/978-3-030-68787-8_16","volume-title":"Pattern Recognition. ICPR International Workshops and Challenges","author":"ND Cilia","year":"2021","unstructured":"Cilia, N.D., De Stefano, C., Fontanella, F., Marthot-Santaniello, I., Scotto di Freca, A.: PapyRow: a dataset of row images from ancient Greek papyri for writers identification. In: Del Bimbo, A., et al. (eds.) ICPR 2021. LNCS, vol. 12667, pp. 223\u2013234. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-68787-8_16"},{"key":"36_CR6","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR, pp. 248\u2013255. IEEE Computer Society (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"36_CR7","unstructured":"Diethart, J., Worp, K.: Notarsunterschriften im byzantinischen \u00c4gypten (Byz. Not.). No. v. 1 in Mitteilungen aus der Papyrussammlung der \u00d6sterreichischen Nationalbibliothek, Hollinek (1986). https:\/\/books.google.it\/books?id=HqfezQEACAAJ"},{"key":"36_CR8","doi-asserted-by":"crossref","unstructured":"Fontanella, F., Colace, F., Molinara, M., Scotto Di Freca, A., Stanco, F.: Pattern recognition and artificial intelligence techniques for cultural heritage. Pattern Recogn. Lett. 138, 23\u201329 (2020)","DOI":"10.1016\/j.patrec.2020.06.018"},{"key":"36_CR9","doi-asserted-by":"crossref","unstructured":"Fournet, J. (ed.): Les archives de Dioscore d\u2019Aphrodit\u00e9 cent ans apr\u00e8s leur d\u00e9couverte, histoire et culture dans l\u2019\u00c9gypte byzantine. Actes du Colloque de Strasbourg. \u00c9tudes d\u2019arch\u00e9ologie et d\u2019histoire ancienne, Paris (2008)","DOI":"10.2307\/j.ctv327fw7x"},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Gupta, A., Kumar, S., Gupta, R., Chaudhury, S., Joshi, S.: Enhancement of old manuscript images. In: Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), vol. 2, pp. 744\u2013748. IEEE (2007)","DOI":"10.1109\/ICDAR.2007.4377014"},{"key":"36_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"36_CR12","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.patcog.2019.01.025","volume":"91","author":"S He","year":"2019","unstructured":"He, S., Schomaker, L.: DeepOtsu: document enhancement and binarization using iterative deep learning. Pattern Recogn. 91, 379\u2013390 (2019). https:\/\/doi.org\/10.1016\/j.patcog.2019.01.025","journal-title":"Pattern Recogn."},{"key":"36_CR13","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1007\/978-981-10-5427-3_62","volume-title":"Advances in Computing and Data Sciences","author":"N Jayanthi","year":"2017","unstructured":"Jayanthi, N., Indu, S., Hasija, S., Tripathi, P.: Digitization of ancient manuscripts and inscriptions - a review. In: Singh, M., Gupta, P.K., Tyagi, V., Sharma, A., \u00d6ren, T., Grosky, W. (eds.) ICACDS 2016. CCIS, vol. 721, pp. 605\u2013612. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-5427-3_62"},{"key":"36_CR14","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/s100320200071","volume":"5","author":"UV Marti","year":"2002","unstructured":"Marti, U.V., Bunke, H.: The IAM-database: an English sentence database for offline handwriting recognition. Int. J. Doc. Anal. Recogn. 5, 39\u201346 (2002)","journal-title":"Int. J. Doc. Anal. Recogn."},{"key":"36_CR15","doi-asserted-by":"crossref","unstructured":"Mohammed, H., Marthot-Santaniello, I., Margner, V.: GRK-Papyri: a dataset of Greek handwriting on papyri for the task of writer identification. In: Proceedings of the 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 726\u2013731 (2019)","DOI":"10.1109\/ICDAR.2019.00121"},{"key":"36_CR16","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-3-030-71804-6_17","volume-title":"Pattern Recognition and Artificial Intelligence","author":"S Nasir","year":"2021","unstructured":"Nasir, S., Siddiqi, I.: Learning features for writer identification from handwriting on papyri. In: Djeddi, C., Kessentini, Y., Siddiqi, I., Jmaiel, M. (eds.) Pattern Recognition and Artificial Intelligence, pp. 229\u2013241. Springer International Publishing, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-71804-6_17"},{"key":"36_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/978-3-030-86198-8_32","volume-title":"Document Analysis and Recognition \u2013 ICDAR 2021 Workshops","author":"S Nasir","year":"2021","unstructured":"Nasir, S., Siddiqi, I., Moetesum, M.: Writer characterization from handwriting on papyri using multi-step feature learning. In: Barney Smith, E.H., Pal, U. (eds.) ICDAR 2021. LNCS, vol. 12916, pp. 451\u2013465. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86198-8_32"},{"key":"36_CR18","doi-asserted-by":"crossref","unstructured":"Peer, M., Sablatnig, R.: Feature mixing for writer retrieval and identification on papyri fragments (2023)","DOI":"10.1145\/3604951.3605515"},{"key":"36_CR19","doi-asserted-by":"publisher","first-page":"10889","DOI":"10.1007\/s11042-018-6577-1","volume":"78","author":"A Rehman","year":"2019","unstructured":"Rehman, A., Naz, S., Razzak, M.I.: Writer identification using machine learning approaches: a comprehensive review. Multimedia Tools Appl. 78, 10889\u201310931 (2019)","journal-title":"Multimedia Tools Appl."},{"volume-title":"Life in an Egyptian Village in Late Antiquity: Aphrodito Before and After the Islamic Conquest","year":"2018","key":"36_CR20","unstructured":"Ruffini, G. (ed.): Life in an Egyptian Village in Late Antiquity: Aphrodito Before and After the Islamic Conquest. Cambridge University Press, Cambridge (2018)"},{"key":"36_CR21","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V.: Inception-v4, Inception-ResNet and the impact of residual connections on learning. In: AAAI (2016)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"36_CR22","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2023 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-51026-7_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T18:07:55Z","timestamp":1731089275000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-51026-7_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031510250","9783031510267"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-51026-7_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}