001451469 000__ 06530cam\a2200601\i\4500 001451469 001__ 1451469 001451469 003__ OCoLC 001451469 005__ 20230310004701.0 001451469 006__ m\\\\\o\\d\\\\\\\\ 001451469 007__ cr\un\nnnunnun 001451469 008__ 221127s2022\\\\sz\a\\\\o\\\\\101\0\eng\d 001451469 019__ $$a1351736769$$a1352967443 001451469 020__ $$a9783031216480$$q(electronic bk.) 001451469 020__ $$a3031216482$$q(electronic bk.) 001451469 020__ $$z9783031216473 001451469 020__ $$z3031216474 001451469 0247_ $$a10.1007/978-3-031-21648-0$$2doi 001451469 035__ $$aSP(OCoLC)1351731357 001451469 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dUKAHL$$dOCLCQ 001451469 049__ $$aISEA 001451469 050_4 $$aTA1640 001451469 08204 $$a006.4/25$$223/eng/20221208 001451469 1112_ $$aInternational Conference on Frontiers in Handwriting Recognition$$n(18th :$$d2022 :$$cHyderabad, India) 001451469 24510 $$aFrontiers in handwriting recognition :$$b18th International Conference, ICFHR 2022, Hyderabad, India, December 4-7, 2022, proceedings /$$cUtkarsh Porwal, Alicia Fornés, Faisal Shafait (eds.). 001451469 24630 $$aICFHR 2022 001451469 264_1 $$aCham :$$bSpringer,$$c[2022] 001451469 264_4 $$c©2022 001451469 300__ $$a1 online resource (xiv, 564 pages) :$$billustrations (chiefly color). 001451469 336__ $$atext$$btxt$$2rdacontent 001451469 337__ $$acomputer$$bc$$2rdamedia 001451469 338__ $$aonline resource$$bcr$$2rdacarrier 001451469 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v13639 001451469 500__ $$aInternational conference proceedings. 001451469 500__ $$aIncludes author index. 001451469 5050_ $$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A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts -- Text Edges Guided Network for Historical Document Super Resolution -- CurT: End-to-End Text Line Detection in Historical Documents with Transformers -- Date Recognition in Historical Parish Records -- Improving Isolated Glyph Classification Task for Palm leaf Manuscripts -- Signature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. 001451469 506__ $$aAccess limited to authorized users. 001451469 520__ $$aThis book constitutes the refereed proceedings of the 18th International Conference on Frontiers in Handwriting Recognition, ICFHR 2022, which took place in Hyderabad, India, during December 4-7, 2022. The 36 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 61 submissions. The contributions were organized in topical sections as follows: Historical Document Processing; Signature Verification and Writer Identification; Symbol and Graphics Recognition; Handwriting Recognition and Understanding; Handwriting Datasets and Synthetic Handwriting Generation; Document Analysis and Processing. 001451469 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 8, 2022). 001451469 650_0 $$aOptical character recognition$$vCongresses. 001451469 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001451469 655_7 $$aConference papers and proceedings.$$2lcgft 001451469 655_0 $$aElectronic books. 001451469 7001_ $$aPorwal, Utkarsh,$$eeditor. 001451469 7001_ $$aFornés, Alicia,$$eeditor.$$1https://isni.org/isni/0000000444620113 001451469 7001_ $$aShafait, Faisal,$$eeditor. 001451469 77608 $$iPrint version: $$z3031216474$$z9783031216473$$w(OCoLC)1347782461 001451469 830_0 $$aLecture notes in computer science ;$$v13639.$$x1611-3349 001451469 852__ $$bebk 001451469 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-21648-0$$zOnline Access$$91397441.1 001451469 909CO $$ooai:library.usi.edu:1451469$$pGLOBAL_SET 001451469 980__ $$aBIB 001451469 980__ $$aEBOOK 001451469 982__ $$aEbook 001451469 983__ $$aOnline 001451469 994__ $$a92$$bISE