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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>ICDAR 2026 Competition on Long-Term Handwriting Author Identification</title>
<link rel="stylesheet" href="style.css">
</head>
<body>
<!-- Fixed Navigation Header -->
<header class="header">
<div class="container">
<div class="nav-brand">
<h1>ICDAR 2026</h1>
<span>AnyScript Challenge</span>
</div>
<nav class="nav">
<a href="http://158.109.8.116:8080" class="nav-link">Submit Results!</a>
<a href="#home" class="nav-link">Home</a>
<a href="#task" class="nav-link">Task</a>
<a href="#evaluation" class="nav-link">Evaluation</a>
<a href="#dataset" class="nav-link">Dataset</a>
<a href="#examples" class="nav-link">Examples</a>
<a href="#download" class="nav-link">Download</a>
<a href="#schedule" class="nav-link">Schedule</a>
<a href="#team" class="nav-link">Team</a>
<a href="#contact" class="nav-link">Contact</a>
</nav>
</div>
</header>
<!-- Banner Header -->
<div class="banner-header">
<div class="banner-overlay">
<br>
<h1 class="banner-title">Long-Term Handwriting Author Identification Challenge</h1>
<br>
</div>
</div>
<!-- Main Content -->
<main>
<!-- Home Section -->
<section id="home" class="section hero">
<div class="container">
<a href="http://158.109.8.116:8080" target="_blank" class="btn-submit">
Submission platform is now open!
</a>
<div class="hero-content">
<h1 class="hero-title">ICDAR 2026 Competition on Long-Term Handwriting Author Identification</h1>
<h2 class="hero-subtitle">The AnyScript Challenge</h2>
<p class="hero-description">
The first benchmark to evaluate writer identification systems across manuscripts separated by decades,
incorporating the temporal dimension of handwriting evolution.
</p>
<div class="stats-grid">
<div class="stat">
<span class="stat-number">1,019</span>
<span class="stat-label">Authors</span>
</div>
<div class="stat">
<span class="stat-number">2,286</span>
<span class="stat-label">Books</span>
</div>
<div class="stat">
<span class="stat-number">527,340</span>
<span class="stat-label">Pages</span>
</div>
<div class="stat">
<span class="stat-number">300+</span>
<span class="stat-label">Years</span>
</div>
</div>
</div>
</div>
</section>
<!-- Introduction -->
<section class="section">
<div class="container">
<h2>Introduction & Motivation</h2>
<p>
Traditional writer identification frameworks treat handwriting style as a static snapshot,
overlooking the crucial dimension of temporal evolution. Handwriting naturally evolves due to aging,
context, and changing writing materials, limiting the real-world applicability of current approaches.
</p>
<p>
The AnyScript competition introduces temporal transitivity to authorship identification,
challenging systems to identify common authorship across manuscripts separated by decades.
Our dataset from the Spanish Digital Library (Biblioteca Digital Hispánica) spans 500+ years
of authentic autograph manuscripts.
</p>
<div class="highlights">
<div class="highlight-item">
<h3>Temporal Evolution</h3>
<p>Account for progressive changes in writing style over time</p>
</div>
<div class="highlight-item">
<h3>Multi-Page Context</h3>
<p>Process long contextual sequences efficiently</p>
</div>
<div class="highlight-item">
<h3>Historical Significance</h3>
<p>18th-20th century literary and artistic works</p>
</div>
</div>
</div>
</section>
<!-- Task Definition -->
<section id="task" class="section alt-bg">
<div class="container">
<h2>Task Definition</h2>
<p>
The competition follows a <strong>query-by-example retrieval</strong> framework.
Given a query document (page or book), systems must retrieve other documents
written by the same author from the dataset.
</p>
<p>
For further details to how the tasks are formulated; refer to this <a href="https://github.com/CVC-DAG/anyscript/blob/main/README.md" target="_blank">README.md file</a>
</p>
<div class="task-tracks">
<div class="track">
<h3>Intra-Book Evaluation</h3>
<div class="track-details">
<p><strong>Goal:</strong> Identify which books query pages belong to</p>
<p><strong>Input:</strong> 1,000 individual pages excluded from training books</p>
<p><strong>Output:</strong> Page-level retrieval rankings</p>
<p><strong>Challenge:</strong> Match pages to their source books</p>
</div>
</div>
<div class="track">
<h3>Extra-Book Evaluation</h3>
<div class="track-details">
<p><strong>Goal:</strong> Identify books by the same author across temporal spans</p>
<p><strong>Input:</strong> 200 complete books excluded from training set</p>
<p><strong>Output:</strong> Book-level retrieval rankings</p>
<p><strong>Challenge:</strong> Long-term stylistic continuity across decades</p>
</div>
</div>
</div>
<div class="temporal-reasoning">
<h3>Temporal Transitivity</h3>
<p>
Systems are expected to incorporate temporal reasoning. Since direct inference
between temporally distant manuscripts (A ↔ C) is challenging, methods should
leverage intermediate associations through temporally closer manuscripts (A ↔ B ↔ C).
</p>
</div>
</div>
</section>
<!-- Evaluation Metrics -->
<section id="evaluation" class="section">
<div class="container">
<h2>Evaluation Metrics</h2>
<p>Three complementary metrics evaluate retrieval performance:</p>
<div class="metrics">
<div class="metric">
<h3>Recall@K</h3>
<p>Measures the proportion of relevant documents among the top K retrieved items (K = 50).</p>
<div class="formula">
<em>Recall@K = (Number of relevant documents in top K) / (Total number of relevant documents)</em>
</div>
</div>
<div class="metric">
<h3>Mean Average Precision (mAP)</h3>
<p>Summarizes ranking performance by averaging precision across all queries. Rewards systems that rank relevant items higher.</p>
<div class="formula">
<em>AP(q) = (1/R<sub>q</sub>) Σ P<sub>q</sub>(k) × rel<sub>q</sub>(k)</em><br>
<em>mAP = (1/Q) Σ AP(q)</em>
</div>
</div>
<div class="metric">
<h3>Normalized Discounted Cumulative Gain (nDCG)</h3>
<p>Uses normalized temporal distance as relevance score to promote historically coherent rankings.</p>
<div class="formula">
<em>DCG<sub>q</sub> = Σ (2<sup>rel<sub>q</sub>(k)</sup> - 1) / log<sub>2</sub>(k + 1)</em><br>
<em>nDCG<sub>q</sub> = DCG<sub>q</sub> / IDCG<sub>q</sub></em>
</div>
</div>
</div>
</div>
</section>
<!-- Dataset -->
<section id="dataset" class="section alt-bg">
<div class="container">
<h2>The AnyScript Dataset</h2>
<div class="dataset-overview">
<div class="dataset-stats">
<h3>Dataset Statistics</h3>
<ul>
<li><strong>500,000+</strong> images (colored + binarized)</li>
<li><strong>2,286 books</strong> by 1,019 unique authors</li>
<li><strong>Temporal span:</strong> 500+ years (18th-20th centuries)</li>
<li><strong>Content:</strong> Novels, plays, music scores, literary works</li>
<li><strong>Language:</strong> Primarily Spanish</li>
<li><strong>Source:</strong> Spanish Digital Library autograph copies</li>
</ul>
</div>
<div class="dataset-details">
<h3>Data Characteristics</h3>
<p>
The dataset contains verified autograph manuscripts - original works produced by their creators.
Documents labeled as autographs but dating after authors' deaths have been removed to ensure authenticity.
</p>
<p>
Temporal coverage focuses on the late 19th and early 20th centuries, with some authors
having continuous book representation spanning 4 decades, enabling study of long-term stylistic evolution.
</p>
</div>
</div>
</div>
</section>
<!-- Examples Section -->
<section id="examples" class="section">
<div class="container">
<h2>Dataset Examples</h2>
<p class="text-center">
The AnyScript dataset contains diverse historical documents including personal letters,
theater scripts, music scores, and literary works spanning over 500 years.
Below are representative examples of the types of manuscripts included in our collection.
</p>
<div class="examples-grid">
<div class="example-item">
<img src="./assets/rosalia_de_castro.jpg"
alt="19th century handwritten letter" class="example-image">
<h4 class="example-caption">Personal letter from 19th century</h4>
<p class="example-description">
Historical handwritten correspondence demonstrating the evolution of
personal writing styles and formal letter composition.
</p>
</div>
<div class="example-item">
<img src="./assets/sardana_agramont.png"
alt="Handwritten music score manuscript" class="example-image">
<h4 class="example-caption">Music score manuscript</h4>
<p class="example-description">
Handwritten musical notation showcasing the unique challenges of
identifying authorship in specialized symbolic writing systems.
</p>
</div>
<div class="example-item">
<img src="./assets/jose_zorrilla.jpg"
alt="Antique handwritten document" class="example-image">
<h4 class="example-caption">Literary work</h4>
<p class="example-description">
Antique handwritten document illustrating the temporal evolution
of handwriting styles across different literary contexts.
</p>
</div>
</div>
<div style="margin-top: 3rem; padding: 2rem; background: #ffffff; border: 1px solid #ff2a19;">
<h3 style="text-align: center; color: #ff2a19; margin-bottom: 1rem;">Temporal Challenge</h3>
<p style="text-align: center; font-size: 1.1rem; margin: 0;">
These examples demonstrate the core challenge of our competition: identifying common authorship
across documents that may span decades, accounting for natural evolution in handwriting style,
different contexts (personal vs. formal), and varying writing materials.
</p>
</div>
</div>
</section>
<!-- Submission Format -->
<section class="section">
<div class="container">
<h2>Submission Format</h2>
<p>Both evaluation tracks require CSV file submissions with the following structure:</p>
<div class="format-details">
<div class="csv-format">
<h3>Required CSV Columns</h3>
<div class="csv-example">
<p style="text-align: center; align-items: center; align-content: center;">query_document_id,retrieved_document_id,similarity_score</p>
</div>
</div>
<div class="track-formats">
<div class="format-track">
<h4>Intra-Book Track</h4>
<p>Submit page-to-page similarity scores for 1,000 query pages against all training pages.</p>
<div class="example">
<strong>Example:</strong><br>
<code>query_page_001,train_page_1234,0.89</code><br>
<code>query_page_001,train_page_5678,0.76</code>
</div>
</div>
<div class="format-track">
<h4>Extra-Book Track</h4>
<p>Submit book-to-book similarity scores for 200 query books against all training books.</p>
<div class="example">
<strong>Example:</strong><br>
<code>query_book_001,train_book_045,0.92</code><br>
<code>query_book_001,train_book_128,0.68</code>
</div>
</div>
</div>
</div>
</div>
</section>
<h2>Download the dataset here!</h2>
The training data weights a total of 700Gb.
For a manual download into your data server use:
<p><code>wget -O anyscript_images.zip https://datasets.cvc.uab.cat/AnyScript/AnyScriptFiltered.tar.gz</code></p>
<!-- Download Section -->
<section id="download" class="section alt-bg">
<div class="container">
<h2>Downloads</h2>
<div class="download-table">
<table>
<thead>
<tr>
<th>Dataset Component</th>
<th>Description</th>
<th>Status</th>
<th>Download</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Training Set</strong></td>
<td>Full-resolution colored images from training books</td>
<td><span class="status coming-soon">700Gb!</span></td>
<td><button class="btn-download">
<a href="https://datasets.cvc.uab.cat/AnyScript/AnyScriptFiltered.tar.gz"
download
class="btn-download">
Download
</a>
</button></td>
</tr>
<tr>
<td><strong>Training Set (Binarized)</strong></td>
<td>Binarized versions of training images</td>
<td><span class="status coming-soon">Coming Soon</span></td>
<td><button class="btn-download" disabled>Download</button></td>
</tr>
<tr>
<td><strong>Training Labels</strong></td>
<td>Author and date annotations for training data</td>
<td><span class="status coming-soon">Dates comming soon...</span></td>
<td><button class="btn-download">
<a href="https://datasets.cvc.uab.cat/AnyScript/ground_truth.tar.gz"
download
class="btn-download">
Download Authorship
</a></button></td>
</tr>
<tr>
<td><strong>Test Queries</strong></td>
<td>Unlabeled test queries for evaluation</td>
<td><span class="status available-march"> See submission examples!</span></td>
<td><button class="btn-download">
<a href="https://datasets.cvc.uab.cat/AnyScript/queries.tar.gz"
download
class="btn-download">
Download Authorship
</a>
</button></td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
<!-- Schedule -->
<section id="schedule" class="section">
<div class="container">
<h2>Competition Schedule</h2>
<div class="timeline">
<div class="timeline-item">
<div class="timeline-date">January 2026</div>
<div class="timeline-content">
<h3>Competition Launch</h3>
<p>Competition website and validation set live</p>
</div>
</div>
<div class="timeline-item">
<div class="timeline-date">March 01, 2026</div>
<div class="timeline-content">
<h3>Test Set Release</h3>
<p>Test set available on evaluation server</p>
</div>
</div>
<div class="timeline-item">
<div class="timeline-date">April 03, 2026</div>
<div class="timeline-content">
<h3>Results Deadline</h3>
<p>Competition results submission deadline</p>
</div>
</div>
<div class="timeline-item">
<div class="timeline-date">April 17, 2026</div>
<div class="timeline-content">
<h3>Report Submission</h3>
<p>Initial competition report submission due</p>
</div>
</div>
<div class="timeline-item">
<div class="timeline-date">May 5, 2026</div>
<div class="timeline-content">
<h3>Camera-Ready Papers</h3>
<p>Camera-ready paper submission due</p>
</div>
</div>
<div class="timeline-item">
<div class="timeline-date">June 22, 2026</div>
<div class="timeline-content">
<h3>Winners Announced</h3>
<p>Competition winners announcement</p>
</div>
</div>
</div>
</div>
</section>
<!-- Organizing Team -->
<section id="team" class="section alt-bg">
<div class="container">
<h2>Organizing Team</h2>
<div class="team-grid">
<div class="team-member">
<div class="member-info">
<h3>Adrià Molina Rodríguez</h3>
<p class="role">PhD Candidate</p>
<p class="interests">Cultural heritage, data governance, responsible AI, retrieval systems, data visualization, graphs</p>
</div>
</div>
<div class="team-member">
<div class="member-info">
<h3>Carlos Boned Riera</h3>
<p class="role">PhD Student</p>
<p class="interests">Representation learning, graph-based methods, historical manuscripts, retrieval systems</p>
</div>
</div>
<div class="team-member">
<div class="member-info">
<h3>Pau Torras</h3>
<p class="role">PhD Student</p>
<p class="interests">Historical handwritten music scores recognition, digital humanities</p>
</div>
</div>
<div class="team-member">
<div class="member-info">
<h3>Oriol Ramos Terrades</h3>
<p class="role">Associate Professor & Department Head</p>
<p class="interests">Probabilistic graphical models, document image analysis, symbol retrieval</p>
</div>
</div>
<div class="team-member">
<div class="member-info">
<h3>Josep Lladós</h3>
<p class="role">Associate Professor & CVC Director</p>
<p class="interests">Document analysis, structural pattern recognition, computer vision</p>
</div>
</div>
</div>
</div>
</section>
<!-- Contact -->
<section id="contact" class="section">
<div class="container">
<h2>Contact Information</h2>
<div class="contact-info">
<div class="contact-item">
<h3>Institution</h3>
<p>Computer Vision Center and Universitat Autònoma de Barcelona</p>
</div>
<div class="contact-item">
<h3>General Inquiries</h3>
</div>
<div class="contact-links">
<a href="https://www.cvc.uab.cat/" target="_blank" class="link-btn">Computer Vision Center</a>
<a href="https://www.uab.cat/" target="_blank" class="link-btn">Universitat Autònoma de Barcelona</a>
</div>
</div>
</div>
</section>
</main>
<!-- Footer -->
<footer class="footer">
<div class="container">
<p>© 2026 Computer Vision Center, Universitat Autònoma de Barcelona. All rights reserved.</p>
<p>ICDAR 2026 Competition on Long-Term Handwriting Author Identification</p>
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