Frontiers in Handwriting Recognition : 18th International Conference, ICFHR 2022, Hyderabad, India, December 4–7, 2022, Proceedings / edited by Utkarsh Porwal, Alicia Fornés, Faisal Shafait.

Format:

Book

Contributor:

Fornés, Alicia, editor.

Shafait, Faisal, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13639

Language:

English

Subjects (All):

Pattern recognition systems.

Database management.

Information storage and retrieval systems.

Machine learning.

Natural language processing (Computer science).

Social sciences--Data processing.

Social sciences.

Automated Pattern Recognition.

Database Management.

Information Storage and Retrieval.

Machine Learning.

Natural Language Processing (NLP).

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Automated Pattern Recognition.

Database Management.

Information Storage and Retrieval.

Machine Learning.

Natural Language Processing (NLP).

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (567 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

This 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 The contributions were organized in topical sections as follows: Historical Document Processing; Signature Verification and Writer Identification; Symbol and Graphics Recognition; Handwriting Recognition and Understanding; Handwriting Datasets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.

Contents:

Historical Document Processing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Text Edges Guided Network for Historical Document Super Resolution

CurT: End-to-End Text Line Detection in Historical Documents with Transformers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.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Porwal, Utkarsh Frontiers in Handwriting Recognition

ISBN:

9783031216480

3031216482