LEADER 01638nam 22004333 450 001 9911047814403321 005 20250916080333.0 010 $a3-032-04614-9 035 $a(MiAaPQ)EBC32294517 035 $a(Au-PeEL)EBL32294517 035 $a(CKB)40943239100041 035 $a(OCoLC)1544980860 035 $a(EXLCZ)9940943239100041 100 $a20250916d2025 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDocument Analysis and Recognition - ICDAR 2025 $e19th International Conference, Wuhan, China, September 16-21, 2025, Proceedings, Part I 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$dİ2026. 215 $a1 online resource (703 pages) 225 1 $aLecture Notes in Computer Science Series ;$vv.16023 311 08$a3-032-04613-0 330 $aThe 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.  The total of 142 full papers included in the proceedings was carefully reviewed and selected from 314 submissions. 410 0$aLecture Notes in Computer Science Series 676 $a025 700 $aYin$b Xu-Cheng$01735032 701 $aKaratzas$b Dimosthenis$01849866 701 $aLopresti$b Daniel$0899206 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047814403321 996 $aDocument Analysis and Recognition - ICDAR 2025$94442689 997 $aUNINA