
Content-based classification of manuscripts is an important task that is generally performed in archives and libraries
by experts with a wealth of knowledge on the manuscript’s
contents. Unfortunately, many manuscript collections are so vast
that it is not feasible to rely solely on experts to perform this
task. Current approaches for textual-content-based manuscript
classification generally require the handwritten images to be
first transcribed into text – but achieving sufficiently accurate
transcripts are generally unfeasible for large sets of historical
manuscripts. We propose a new approach to perform automatically this classification task which does not rely on any explicit
image transcripts. It is based on “probabilistic indexing”, a
relatively novel technology which allows to effectively represent
the intrinsic word-level uncertainty generally exhibited by handwritten text images. We assess the performance of this approach
on a large collection of complex manuscripts from the Spanish
Archivo General de Indias, with promising results. To the best
of our knowledge, this is the first published work proposing,
developing and assessing a successful approach for content-based
classification of untranscribed manuscript images.

Textual-Content-Based Classification of Bundles of Untranscribed Manuscript Images

PS T4.1: Document Analysis and Retrieval

poster

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


Jose Ramón Prieto Fontcuberta

1

SHORT BIO

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Textual-Content-Based Classification of Bundles of Untranscribed Manuscript Images

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