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  • Produktbild: Frontiers in Handwriting Recognition
  • Produktbild: Frontiers in Handwriting Recognition
Band 13639

Frontiers in Handwriting Recognition 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 126.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.11.2022

Herausgeber

Utkarsh Porwal + weitere

Verlag

Springer

Seitenzahl

564

Maße (L/B/H)

23.5/15.5/3.2 cm

Gewicht

867 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-21647-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.11.2022

Herausgeber

Verlag

Springer

Seitenzahl

564

Maße (L/B/H)

23.5/15.5/3.2 cm

Gewicht

867 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-21647-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Frontiers in Handwriting Recognition
  • Produktbild: Frontiers in Handwriting Recognition
  • Historical Document Processing.-  A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts.- Text Edges Guided Network for Historical Document Super Resolution.- CurT: End-to-End Text Line Detection in Historical Documents with Transformers.- Date Recognition in Historical Parish Records.- Improving Isolated Glyph Classification Task for Palm leaf Manuscripts.-  Signature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.