摘要离线笔迹鉴别在司法鉴定与历史文档分析中有重要作用. 当前的主要离线笔迹鉴别都是基于
局部特征提取的方法, 其在笔迹检索中严重依赖于数据增强和全局编码, 在笔迹识别中需要较多 …

This paper presents a method for writer retrieval where embeddings of patches extracted at
SIFT keypoint locations are learned by a Compact Convolutional Transformer (CCT), a …

This paper describes the ICFHR 2018 Competition on Multi-script Writer Identification with
details on the competition tasks, databases employed, submitted systems, evaluation …

Extraction of text lines from handwritten document images is important for downstream text
recognition tasks. It is challenging since handwritten documents do not follow strict rules …

Offline handwriting identification is widely used in many fields of modern society, such as
judicial authentication, identity verification, ancient manuscripts, etc. Compared with …

Abstract Modern Keyword Spotting systems rely on deep learning approaches to build
effective neural networks which provide state-of-the-art results. Despite their evident …

Writer identification is a critical aspect of document analysis and has significant implications
in various domains, including forensics, authentication, and historical research. In this …

Around the world, many different languages are spoken, each with a unique writing style. A
challenging problem requiring substantial research and cutting-edge computer technologies …

Handwriting is an individual trait that serves as evidence to authenticate a particular writer.
Identifying the writer of a handwritten text has shown encouraging results in examining …