{"id":"https://openalex.org/W7129361568","doi":"https://doi.org/10.1007/s10032-025-00564-4","title":"Segmentation of Ink and Parchment in Dead Sea Scroll Fragments","display_name":"Segmentation of Ink and Parchment in Dead Sea Scroll Fragments","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7129361568","doi":"https://doi.org/10.1007/s10032-025-00564-4"},"language":"en","primary_location":{"id":"doi:10.1007/s10032-025-00564-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10032-025-00564-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10032-025-00564-4.pdf","source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10032-025-00564-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099496858","display_name":"Berat Kurar-Barakat","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Berat Kurar-Barakat","raw_affiliation_strings":["School of Computer Science and AI, Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and AI, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120308489","display_name":"Nachum Dershowitz","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nachum Dershowitz","raw_affiliation_strings":["School of Computer Science and AI, Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and AI, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5099496858"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12915769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"2","first_page":"531","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.01940000057220459,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parchment","display_name":"Parchment","score":0.967199981212616},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.736299991607666},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6495000123977661},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.608299970626831},{"id":"https://openalex.org/keywords/scroll","display_name":"Scroll","score":0.44200000166893005},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.43619999289512634},{"id":"https://openalex.org/keywords/inkwell","display_name":"Inkwell","score":0.42640000581741333}],"concepts":[{"id":"https://openalex.org/C2780845164","wikidata":"https://www.wikidata.org/wiki/Q226697","display_name":"Parchment","level":2,"score":0.967199981212616},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.736299991607666},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6495000123977661},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6062999963760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5425000190734863},{"id":"https://openalex.org/C2781324535","wikidata":"https://www.wikidata.org/wiki/Q720106","display_name":"Scroll","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4293000102043152},{"id":"https://openalex.org/C109693293","wikidata":"https://www.wikidata.org/wiki/Q1496072","display_name":"Inkwell","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.40380001068115234},{"id":"https://openalex.org/C2992278995","wikidata":"https://www.wikidata.org/wiki/Q23883","display_name":"Dead sea","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10032-025-00564-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10032-025-00564-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10032-025-00564-4.pdf","source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10032-025-00564-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10032-025-00564-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10032-025-00564-4.pdf","source":{"id":"https://openalex.org/S90108747","display_name":"International Journal on Document Analysis and Recognition (IJDAR)","issn_l":"1433-2825","issn":["1433-2825","1433-2833"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Document Analysis and Recognition (IJDAR)","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.5060147643089294,"display_name":"Life below water"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322596","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7129361568.pdf","grobid_xml":"https://content.openalex.org/works/W7129361568.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W10822400","https://openalex.org/W1491319300","https://openalex.org/W1880780878","https://openalex.org/W1901129140","https://openalex.org/W2002080892","https://openalex.org/W2078836978","https://openalex.org/W2097524526","https://openalex.org/W2100176260","https://openalex.org/W2113137767","https://openalex.org/W2127319406","https://openalex.org/W2133059825","https://openalex.org/W2156605212","https://openalex.org/W2161313214","https://openalex.org/W2165181936","https://openalex.org/W2168375586","https://openalex.org/W2169828920","https://openalex.org/W2235886917","https://openalex.org/W2438275597","https://openalex.org/W2501098672","https://openalex.org/W2515070191","https://openalex.org/W2568049943","https://openalex.org/W2592629457","https://openalex.org/W2751352153","https://openalex.org/W2786506573","https://openalex.org/W2801004575","https://openalex.org/W2906564031","https://openalex.org/W2911064732","https://openalex.org/W2915312272","https://openalex.org/W2957223244","https://openalex.org/W3003329315","https://openalex.org/W3004105720","https://openalex.org/W3008320905","https://openalex.org/W3048313648","https://openalex.org/W3094095504","https://openalex.org/W3109776340","https://openalex.org/W3112270820","https://openalex.org/W3156256817","https://openalex.org/W3157156894","https://openalex.org/W3178741120","https://openalex.org/W4318013403","https://openalex.org/W4320516301","https://openalex.org/W4323240443","https://openalex.org/W4323240480","https://openalex.org/W4390576010","https://openalex.org/W4390874575","https://openalex.org/W4392017395","https://openalex.org/W4393950405","https://openalex.org/W4400108352"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"The":[1],"discovery":[2],"of":[3,17,27,38,46,82,96],"the":[4,18,28,36,54,88,134],"Dead":[5,83],"Sea":[6,84],"Scrolls":[7],"over":[8,158],"sixty":[9],"years":[10],"ago":[11],"is":[12,170],"widely":[13],"regarded":[14],"as":[15],"one":[16],"greatest":[19],"archaeological":[20],"breakthroughs":[21],"in":[22,79,166,176],"modern":[23],"history.":[24],"Recent":[25],"study":[26],"scrolls":[29],"presents":[30,69],"ongoing":[31],"computational":[32,71],"challenges,":[33],"including":[34],"determining":[35],"provenance":[37],"fragments,":[39,98],"clustering":[40],"fragments":[41,50],"based":[42,109],"on":[43,61,110],"their":[44,111],"degree":[45],"similarity,":[47],"and":[48,64,76,106,136,150,164,169,180],"pairing":[49],"that":[51,58,125,146],"originate":[52],"from":[53,133,178],"same":[55],"manuscript\u2014all":[56],"tasks":[57],"require":[59],"focusing":[60],"individual":[62],"letter":[63],"fragment":[65],"shapes.":[66],"This":[67],"paper":[68],"a":[70],"method":[72,154],"for":[73],"segmenting":[74],"ink":[75,105,127,141,174],"parchment":[77,107,167],"regions":[78,108],"multispectral":[80,101],"images":[81],"Scroll":[85],"fragments.":[86],"Using":[87],"newly":[89],"developed":[90],"Qumran":[91],"Segmentation":[92],"Dataset":[93],"(QSD)":[94],"consisting":[95],"20":[97],"we":[99,119],"apply":[100],"thresholding":[102],"to":[103],"isolate":[104],"unique":[112],"spectral":[113],"signatures.":[114],"To":[115],"refine":[116],"segmentation":[117,168],"accuracy,":[118],"introduce":[120],"an":[121],"energy":[122],"minimization":[123],"technique":[124],"leverages":[126],"contours,":[128],"which":[129],"are":[130],"more":[131],"distinguishable":[132],"background":[135,181],"less":[137],"noisy":[138],"than":[139],"inner":[140],"regions.":[142,182],"Experimental":[143],"results":[144],"demonstrate":[145],"this":[147],"Multispectral":[148],"Thresholding":[149],"Energy":[151],"Minimization":[152],"(MTEM)":[153],"achieves":[155],"significant":[156],"improvements":[157],"traditional":[159],"binarization":[160],"approaches":[161],"like":[162],"Otsu":[163],"Sauvola":[165],"successful":[171],"at":[172],"delineating":[173],"borders,":[175],"distinction":[177],"holes":[179]},"counts_by_year":[],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2026-02-18T00:00:00"}
