Frontiers in Handwriting Recognition

Table of Contents

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   Book Overview
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   Chapter 1 A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts
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   Chapter 2 Text Edges Guided Network for Historical Document Super Resolution
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   Chapter 3 CurT: End-to-End Text Line Detection in Historical Documents with Transformers
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   Chapter 4 Date Recognition in Historical Parish Records
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   Chapter 5 Improving Isolated Glyph Classification Task for Palm Leaf Manuscripts
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   Chapter 6 Impact of Type of Convolution Operation on Performance of Convolutional Neural Networks for Online Signature Verification
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   Chapter 7 COMPOSV++: Light Weight Online Signature Verification Framework Through Compound Feature Extraction and Few-Shot Learning
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   Chapter 8 Finger-Touch Direction Feature Using a Frequency Distribution in the Writer Verification Base on Finger-Writing of a Simple Symbol
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    Chapter 9 Self-supervised Vision Transformers with Data Augmentation Strategies Using Morphological Operations for Writer Retrieval
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    Chapter 10 EAU-Net: A New Edge-Attention Based U-Net for Nationality Identification
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    Chapter 11 Progressive Multitask Learning Network for Online Chinese Signature Segmentation and Recognition
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    Chapter 12 Musigraph: Optical Music Recognition Through Object Detection and Graph Neural Network
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    Chapter 13 Combining CNN and Transformer as Encoder to Improve End-to-End Handwritten Mathematical Expression Recognition Accuracy
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    Chapter 14 A Vision Transformer Based Scene Text Recognizer with Multi-grained Encoding and Decoding
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    Chapter 15 Spatial Attention and Syntax Rule Enhanced Tree Decoder for Offline Handwritten Mathematical Expression Recognition
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    Chapter 16 FPRNet: End-to-End Full-Page Recognition Model for Handwritten Chinese Essay
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    Chapter 17 Active Transfer Learning for Handwriting Recognition
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    Chapter 18 Recognition-Free Question Answering on Handwritten Document Collections
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    Chapter 19 Handwriting Recognition and Automatic Scoring for Descriptive Answers in Japanese Language Tests
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    Chapter 20 A Weighted Combination of Semantic and Syntactic Word Image Representations
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    Chapter 21 Combining Self-training and Minimal Annotations for Handwritten Word Recognition
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    Chapter 22 Script-Level Word Sample Augmentation for Few-Shot Handwritten Text Recognition
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    Chapter 23 Towards Understanding and Improving Handwriting with AI
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    Chapter 24 ChaCo: Character Contrastive Learning for Handwritten Text Recognition
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    Chapter 25 Enhancing Indic Handwritten Text Recognition Using Global Semantic Information
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    Chapter 26 Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi
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    Chapter 27 Self-attention Networks for Non-recurrent Handwritten Text Recognition
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    Chapter 28 An Efficient Prototype-Based Model for Handwritten Text Recognition with Multi-loss Fusion
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    Chapter 29 Urdu Handwritten Ligature Generation Using Generative Adversarial Networks (GANs)
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    Chapter 30 SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis
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    Chapter 31 A Benchmark Gurmukhi Handwritten Character Dataset: Acquisition, Compilation, and Recognition
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    Chapter 32 Synthetic Data Generation for Semantic Segmentation of Lecture Videos
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    Chapter 33 Generating Synthetic Styled Chu Nom Characters
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    Chapter 34 UOHTD: Urdu Offline Handwritten Text Dataset
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    Chapter 35 DAZeTD: Deep Analysis of Zones in Torn Documents
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    Chapter 36 CNN-Based Ruled Line Removal in Handwritten Documents
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    Chapter 37 Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation