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Historical Document Processing.- A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts.- Text Edges Guided Network for Historical Document Super Resolution.- CurT: End-to-End Text Line Detection in Historical Documents with Transformers.- Date Recognition in Historical Parish Records.- Improving Isolated Glyph Classification Task for Palm leaf Manuscripts.- Signature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