LEADER 05541nam 22007455 450 001 996546853203316 005 20230814190226.0 010 $a3-031-41501-9 024 7 $a10.1007/978-3-031-41501-2 035 $a(MiAaPQ)EBC30697491 035 $a(Au-PeEL)EBL30697491 035 $a(DE-He213)978-3-031-41501-2 035 $a(PPN)272260231 035 $a(EXLCZ)9927982087800041 100 $a20230814d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDocument Analysis and Recognition ? ICDAR 2023 Workshops$b[electronic resource] $eSan José, CA, USA, August 24?26, 2023, Proceedings, Part II /$fedited by Mickael Coustaty, Alicia Fornés 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (339 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14194 311 08$aPrint version: Coustaty, Mickael Document Analysis and Recognition - ICDAR 2023 Workshops Cham : Springer,c2023 9783031415005 327 $aTypefaces and Ligatures in Printed Arabic Text: A Deep Learning-Based OCR Perspective -- Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction -- Extracting Key-Value Pairs in Business Documents -- Long-Range Transformer Architectures for Document Understanding.-Pre-training transformers for Corporate Documents Understanding -- Transformer-Based Neural Machine Translation for Post-OCR Error Correction in Cursive Text -- Arxiv Tables: Document Understanding Challenge Linking Texts and Tables -- Subgraph-Induced Extraction Technique for Information (SETI) from Administrative Documents -- Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs -- A Clustering Approach Combining Lines and Text Detection for Table Extraction -- Absformer: Transformer-Based Model for Unsupervised Multi-Document Abstractive Summarization -- A Comparison of Demographic Attributes Detection from Handwriting Based on Traditional and Deep Learning Methods -- A New Optimization Approach to Improve an Ensemble Learning Model: Application to Persian/Arabic Handwritten Character Recognition -- BN-DRISHTI: Bangla Document Recognition Through Instance-level Segmentation of Handwritten Text Images -- Text Line Detection and Recognition of Greek Polytonic Documents -- A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet -- Local Style Awareness of Font Images -- Fourier Feature-Based CBAM and Vision Transformer for Text Detection in Drone Images -- Document Binarization with Quaternionic Double Discriminator Generative Adversarial Network -- Crosslingual Handwritten Text Generation Using GANs -- Knowledge Integration inside Multitask Network for Analysis of Unseen ID Types. 330 $aThis two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21?26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML). . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14194 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMachine learning 606 $aDatabase management 606 $aNatural language processing (Computer science) 606 $aSocial sciences$xData processing 606 $aInformation storage and retrieval systems 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aDatabase Management 606 $aNatural Language Processing (NLP) 606 $aComputer Application in Social and Behavioral Sciences 606 $aInformation Storage and Retrieval 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aDatabase management. 615 0$aNatural language processing (Computer science). 615 0$aSocial sciences$xData processing. 615 0$aInformation storage and retrieval systems. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aDatabase Management. 615 24$aNatural Language Processing (NLP). 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aInformation Storage and Retrieval. 676 $a006 700 $aCoustaty$b Mickael$01423744 701 $aFornés$b Alicia$01423745 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996546853203316 996 $aDocument Analysis and Recognition - ICDAR 2023 Workshops$93552103 997 $aUNISA