{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:53:39Z","timestamp":1773932019645,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T00:00:00Z","timestamp":1733702400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T00:00:00Z","timestamp":1733702400000},"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":["SIViP"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1007\/s11760-024-03725-w","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T02:09:44Z","timestamp":1733710184000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic identification of noise in degraded historical documents"],"prefix":"10.1007","volume":"19","author":[{"given":"Abderrahmane","family":"Kefali","sequence":"first","affiliation":[]},{"given":"Ismail","family":"Bouacha","sequence":"additional","affiliation":[]},{"given":"Ahmed Abderrezzaq","family":"Haddad","sequence":"additional","affiliation":[]},{"given":"Chokri","family":"Ferkous","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,9]]},"reference":[{"key":"3725_CR1","doi-asserted-by":"crossref","unstructured":"Lins, R.D., Banergee, S., Thielo, M.: Automatically detecting and classifying noises in document images. In: Proceedings of the 2010 ACM symposium on applied computing. pp. 33\u201339. Association for computing machinery, New York, NY, USA (2010)","DOI":"10.1145\/1774088.1774096"},{"key":"3725_CR2","doi-asserted-by":"crossref","unstructured":"Messaoud, I.B., El Abed, H., Amiri, H., M\u00e4rgner, V.: New method for the selection of binarization parameters based on noise features of historical documents. In: Proceedings of the 2011 joint workshop on multilingual OCR and analytics for noisy unstructured text data. pp. 1\u20138. Association for computing machinery, New York, NY, USA (2011)","DOI":"10.1145\/2034617.2034619"},{"key":"3725_CR3","doi-asserted-by":"crossref","unstructured":"Shamqoli, M., Khosravi, H.: Border detection of document images scanned from large books. In: 2013 8th Iranian conference on machine vision and image processing (MVIP). pp. 84\u201388 (2013)","DOI":"10.1109\/IranianMVIP.2013.6779955"},{"key":"3725_CR4","doi-asserted-by":"crossref","unstructured":"Arnia, F., Fardian, Muchallil, S., Munadi, K.: Noise characterization in ancient document images based on DCT coefficient distribution. In: 2015 13th international conference on document analysis and recognition (ICDAR). pp. 971\u2013975 (2015)","DOI":"10.1109\/ICDAR.2015.7333906"},{"key":"3725_CR5","doi-asserted-by":"crossref","unstructured":"Ghomrassi, A., Charrada, M.A., Essoukri Ben Amara, N.: Restoration of ancient colored documents foreground\/background separation. In: 2015 IEEE 12th international multi-conference on systems, signals & devices (SSD15). pp. 1\u20136 (2015)","DOI":"10.1109\/SSD.2015.7348120"},{"key":"3725_CR6","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.image.2019.04.009","volume":"76","author":"A Shahkolaei","year":"2019","unstructured":"Shahkolaei, A., Beghdadi, A., Cheriet, M.: Blind quality assessment metric and degradation classification for degraded document images. Signal Process. Image Commun. 76, 11\u201321 (2019). https:\/\/doi.org\/10.1016\/j.image.2019.04.009","journal-title":"Signal Process. Image Commun."},{"key":"3725_CR7","doi-asserted-by":"crossref","unstructured":"Endo, K., Tanaka, M., Okutomi, M.: Classifying degraded images over various levels of degradation. In: 2020 IEEE international conference on image processing (ICIP). pp. 1691\u20131695 (2020)","DOI":"10.1109\/ICIP40778.2020.9191087"},{"key":"3725_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2352\/ISSN.2470-1173.2020.10.IPAS-028","volume":"32","author":"K Endo","year":"2020","unstructured":"Endo, K., Tanaka, M., Okutomi, M., Tanaka, M., Okutomi, M.: CNN-based classification of degraded images. Electron. Imaging. 32, 1\u20137 (2020). https:\/\/doi.org\/10.2352\/ISSN.2470-1173.2020.10.IPAS-028","journal-title":"Electron. Imaging."},{"key":"3725_CR9","doi-asserted-by":"crossref","unstructured":"Saddami, K., Munadi, K., Arnia, F.: Degradation classification on ancient document image based on deep neural networks. In: 2020 3rd international conference on information and communications technology (ICOIACT). pp. 405\u2013410 (2020)","DOI":"10.1109\/ICOIACT50329.2020.9332042"},{"key":"3725_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108034","volume":"118","author":"T Lu","year":"2021","unstructured":"Lu, T., Dooms, A.: Bayesian damage recognition in document images based on a joint global and local homogeneity model. Pattern Recognit. 118, 108034 (2021). https:\/\/doi.org\/10.1016\/j.patcog.2021.108034","journal-title":"Pattern Recognit."},{"key":"3725_CR11","doi-asserted-by":"publisher","first-page":"114","DOI":"10.3390\/jimaging7070114","volume":"7","author":"F Arnia","year":"2021","unstructured":"Arnia, F., Saddami, K., Munadi, K.: DCNet: noise-robust convolutional neural networks for degradation classification on ancient documents. J. Imaging. 7, 114 (2021). https:\/\/doi.org\/10.3390\/jimaging7070114","journal-title":"J. Imaging."},{"key":"3725_CR12","doi-asserted-by":"crossref","unstructured":"Gatos, B., Ntirogiannis, K., Pratikakis, I.: ICDAR 2009 Document image binarization contest (DIBCO 2009). In: 2009 10th international conference on document analysis and recognition. pp. 1375\u20131382 (2009)","DOI":"10.1109\/ICDAR.2009.246"},{"key":"3725_CR13","doi-asserted-by":"crossref","unstructured":"Ntirogiannis, K., Gatos, B., Pratikakis, I.: ICFHR2014 competition on handwritten document image binarization (H-DIBCO 2014). In: 2014 14th international conference on frontiers in handwriting recognition. pp. 809\u2013813 (2014)","DOI":"10.1109\/ICFHR.2014.141"},{"key":"3725_CR14","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Zagoris, K., Barlas, G., Gatos, B.: ICFHR2016 handwritten document image binarization contest (H-DIBCO 2016). In: 2016 15th international conference on frontiers in handwriting recognition (ICFHR). pp. 619\u2013623 (2016)","DOI":"10.1109\/ICFHR.2016.0118"},{"key":"3725_CR15","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Zagoris, K., Barlas, G., Gatos, B.: ICDAR2017 Competition on document image binarization (DIBCO 2017). In: 2017 14th IAPR international conference on document analysis and recognition (ICDAR). pp. 1395\u20131403 (2017)","DOI":"10.1109\/ICDAR.2017.228"},{"key":"3725_CR16","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Zagori, K., Kaddas, P., Gatos, B.: ICFHR 2018 competition on handwritten document image binarization (H-DIBCO 2018). In: 2018 16th international conference on frontiers in handwriting recognition (ICFHR). pp. 489\u2013493 (2018)","DOI":"10.1109\/ICFHR-2018.2018.00091"},{"key":"3725_CR17","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Zagoris, K., Karagiannis, X., Tsochatzidis, L., Mondal, T., Marthot-Santaniello, I.: ICDAR 2019 competition on document image binarization (DIBCO 2019). In: 2019 international conference on document analysis and recognition (ICDAR). pp. 1547\u20131556 (2019)","DOI":"10.1109\/ICDAR.2019.00249"},{"key":"3725_CR18","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Gatos, B., Ntirogiannis, K.: H-DIBCO 2010 - Handwritten document image binarization competition. In: 2010 12th international conference on frontiers in handwriting recognition. pp. 727\u2013732 (2010)","DOI":"10.1109\/ICFHR.2010.118"},{"key":"3725_CR19","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Gatos, B., Ntirogiannis, K.: ICDAR 2011 document image binarization contest (DIBCO 2011). In: 2011 international conference on document analysis and recognition. pp. 1506\u20131510 (2011)","DOI":"10.1109\/ICDAR.2011.299"},{"key":"3725_CR20","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Gatos, B., Ntirogiannis, K.: ICFHR 2012 competition on handwritten document image binarization (H-DIBCO 2012). In: 2012 international conference on frontiers in handwriting recognition. pp. 817\u2013822 (2012)","DOI":"10.1109\/ICFHR.2012.216"},{"key":"3725_CR21","doi-asserted-by":"crossref","unstructured":"Pratikakis, I., Gatos, B., Ntirogiannis, K.: ICDAR 2013 Document image binarization contest (DIBCO 2013). In: 2013 12th international conference on document analysis and recognition. pp. 1471\u20131476 (2013)","DOI":"10.1109\/ICDAR.2013.219"},{"key":"3725_CR22","doi-asserted-by":"publisher","first-page":"15863","DOI":"10.1007\/s00521-021-06207-z","volume":"33","author":"A Cheddad","year":"2021","unstructured":"Cheddad, A., Kusetogullari, H., Hilmkil, A., Sundin, L., Yavariabdi, A., Aouache, M., Hall, J.: SHIBR\u2014the Swedish historical birth records: a semi-annotated dataset. Neural Comput. Appl. 33, 15863\u201315875 (2021). https:\/\/doi.org\/10.1007\/s00521-021-06207-z","journal-title":"Neural Comput. Appl."},{"key":"3725_CR23","doi-asserted-by":"crossref","unstructured":"Kurar Barakat, B., El-Sana, J., Rabaev, I.: The Pinkas Dataset. In: 2019 International conference on document analysis and recognition (ICDAR). pp. 732\u2013737 (2019)","DOI":"10.1109\/ICDAR.2019.00122"},{"key":"3725_CR24","doi-asserted-by":"crossref","unstructured":"Fiel, S., Kleber, F., Diem, M., Christlein, V., Louloudis, G., Stamatopoulos, N., Gatos, B.: ScriptNet: ICDAR2017 competition on historical document writer identification (Historical-WI), https:\/\/zenodo.org\/records\/1324999, (2017)","DOI":"10.1109\/ICDAR.2017.225"},{"key":"3725_CR25","unstructured":"Andreas K\u00f6lsch: Handwritten Annotation Detection Dataset (AnnotationDB), https:\/\/tc11.cvc.uab.es\/datasets\/AnnotationDB_1, (2018)"},{"key":"3725_CR26","unstructured":"S\u00e1nchez, J.A., Romero, V., Toselli, A.H., Vidal, E.: READ dataset Bozen, https:\/\/zenodo.org\/records\/218236, (2016)"},{"key":"3725_CR27","unstructured":"Fotini Simistira: DIVA-HisDB historical document image database (DIVA-HisDB), URL:https:\/\/tc11.cvc.uab.es\/datasets\/DIVA-HisDB_1, (2016)"},{"key":"3725_CR28","doi-asserted-by":"crossref","unstructured":"Kassis, M., Abdalhaleem, A., Droby, A., Alaasam, R., El-Sana, J.: VML-HD: The historical Arabic documents dataset for recognition systems. In: 2017 1st international workshop on Arabic script analysis and recognition (ASAR). pp. 11\u201314 (2017)","DOI":"10.1109\/ASAR.2017.8067751"},{"key":"3725_CR29","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-030-86334-0_6","volume-title":"Document analysis and recognition \u2013 ICDAR 2021","author":"MT Vu","year":"2021","unstructured":"Vu, M.T., Le, V.L., Beurton-Aimar, M.: IHR-NomDB: the old degraded vietnamese handwritten script archive database. In: Llad\u00f3s, J., Lopresti, D., Uchida, S. (eds.) Document analysis and recognition \u2013 ICDAR 2021, pp. 85\u201399. Springer International Publishing, Cham (2021)"},{"key":"3725_CR30","doi-asserted-by":"crossref","unstructured":"Ayatollahi, S.M., Ziaei Nafchi, H.: Persian heritage image binarization competition (PHIBC 2012). In: 2013 first Iranian conference on pattern recognition and image analysis (PRIA). pp. 1\u20134 (2013)","DOI":"10.1109\/PRIA.2013.6528442"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03725-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03725-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03725-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,28]],"date-time":"2025-01-28T17:49:17Z","timestamp":1738086557000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03725-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,9]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["3725"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03725-w","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,9]]},"assertion":[{"value":"6 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"95"}}