LEADER 07035nam 22008055 450 001 9910632468703321 005 20251225200542.0 010 $a9783031216480 010 $a3031216482 024 7 $a10.1007/978-3-031-21648-0 035 $a(MiAaPQ)EBC7146398 035 $a(Au-PeEL)EBL7146398 035 $a(CKB)25461606000041 035 $a(PPN)266348777 035 $a(BIP)86487948 035 $a(BIP)86064018 035 $a(DE-He213)978-3-031-21648-0 035 $a(EXLCZ)9925461606000041 100 $a20221118d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFrontiers in Handwriting Recognition $e18th International Conference, ICFHR 2022, Hyderabad, India, December 4?7, 2022, Proceedings /$fedited by Utkarsh Porwal, Alicia Fornés, Faisal Shafait 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (567 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13639 311 08$aPrint version: Porwal, Utkarsh Frontiers in Handwriting Recognition Cham : Springer International Publishing AG,c2022 9783031216473 320 $aIncludes bibliographical references and index. 327 $aHistorical Document Processing -- A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts -- Text Edges Guided Network for Historical Document Super Resolution -- CurT: End-to-End Text Line Detection in Historical Documents with Transformers -- Date Recognition in Historical Parish Records -- Improving Isolated Glyph Classification Task for Palm leaf Manuscripts -- Signature Verification and Writer Identification -- Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature Verification -- COMPOSV++: Light Weight Online Signature Verification Framework through Compound Feature Extraction and Few-shot Learning -- Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple Symbol -- Self-Supervised Vision Transformers with Data Augmentation Strategies using Morphological Operations for Writer Retrieval -- EAU-Net: A New Edge-Attention based U-Net for Nationality Identification -- Progressive Multitask Learning Network for Online Chinese Signature Segmentation and Recognition -- Symbol and Graphics Recognition -- Musigraph: Optical Music Recognition through Object Detection and Graph Neural Network -- Combining CNN and Transformer as Encoder to Improve End-to-end Handwritten Mathematical Expression Recognition Accuracy -- A Vision Transformer based Scene Text Recognizer with Multi-Grained Encoding and Decoding -- Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition -- Handwriting Recognition and Understanding -- FPRNet: End-to-end Full-page Recognition Model for Handwritten Chinese Essay -- Active Transfer Learning for Handwriting Recognition -- Recognition-free Question Answering on Handwritten Document Collections -- Handwriting recognition and automatic scoring for descriptive answers in Japanese language tests -- A Weighted Combination of Semantic and Syntactic Word Image Representations -- Combining Self-Training and Minimal Annotations for Handwritten Word Recognition -- Script-Level Word Sample Augmentation for Few-shot Handwritten Text Recognition -- Towards understanding and improving handwriting with AI -- ChaCo: Character Contrastive Learning for Handwritten Text Recognition -- Enhancing Indic Handwritten Text Recognition using Global Semantic Information -- Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi -- Self-Attention Networks for Non-Recurrent Handwritten Text Recognition -- An Efficient Prototype-based Model for Handwritten Text Recognition with Multi-Loss Fusion -- Handwriting Datasets and Synthetic Handwriting Generation -- Urdu Handwritten Ligature Generation using Generative Adversarial Networks (GANs) -- SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis -- A Benchmark Gurmukhi Handwritten Character Dataset: Acquisition, Compilation, and Recognition -- Synthetic Data Generation for Semantic Segmentation of Lecture Videos -- Generating synthetic styled Chu Nom characters -- UOHTD: Urdu Offline Handwritten Text Dataset -- Document Analysis and Processing -- DAZeTD: Deep Analysis of Zones in Torn Documents -- CNN-based Ruled Line Removal in Handwritten Documents -- Complex Table Structure Recognition in the Wild using Transformer and Identity Matrix-based Augmentation. 330 $aThis book constitutes the refereed proceedings of the 18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022, which took place in Hyderabad, India, during December 4-7, 2022. The 36 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 61 submissions. The contributions were organized in topical sections as follows: Historical Document Processing; Signature Verification and Writer Identification; Symbol and Graphics Recognition; Handwriting Recognition and Understanding; Handwriting Datasets and Synthetic Handwriting Generation; Document Analysis and Processing. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13639 606 $aPattern recognition systems 606 $aDatabase management 606 $aInformation storage and retrieval systems 606 $aMachine learning 606 $aNatural language processing (Computer science) 606 $aSocial sciences$xData processing 606 $aAutomated Pattern Recognition 606 $aDatabase Management 606 $aInformation Storage and Retrieval 606 $aMachine Learning 606 $aNatural Language Processing (NLP) 606 $aComputer Application in Social and Behavioral Sciences 615 0$aPattern recognition systems. 615 0$aDatabase management. 615 0$aInformation storage and retrieval systems. 615 0$aMachine learning. 615 0$aNatural language processing (Computer science) 615 0$aSocial sciences$xData processing. 615 14$aAutomated Pattern Recognition. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aMachine Learning. 615 24$aNatural Language Processing (NLP). 615 24$aComputer Application in Social and Behavioral Sciences. 676 $a006.424 676 $a006.425 702 7$aPorwal$b Utkarsh 702 $aForne?s$b Alicia 702 $aShafait$b Faisal 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910632468703321 996 $aFrontiers in handwriting recognition$93084153 997 $aUNINA