LEADER 01582nam 22004093 450 001 996678671303316 005 20250920060326.0 010 $a3-032-04630-0 035 $a(MiAaPQ)EBC32301875 035 $a(Au-PeEL)EBL32301875 035 $a(CKB)40970659200041 035 $a(EXLCZ)9940970659200041 100 $a20250920d2025 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 V 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$dİ2026. 215 $a1 online resource (916 pages) 225 1 $aLecture Notes in Computer Science Series ;$vv.16027 311 08$a3-032-04629-7 330 $aThe 5-volume set LNCS 16023 - 16027 constitutes the proceedings of the 19th International Conference on Document Analysis and Recognition, ICDAR 2025, which took place in Wuhan, China, during September 2025.  The total of 142 full papers included in the proceedings was carefully reviewed and selected from 314 submissions. 410 0$aLecture Notes in Computer Science Series 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 $a996678671303316 996 $aDocument Analysis and Recognition - ICDAR 2025$94442689 997 $aUNISA