Abstract

This paper presents novel results for word spotting based on dynamic time warping applied to medieval manuscripts in Latin and Old Swedish. A target word is marked by a user, and the method automatically finds similar word forms in the document by matching them against the target. The method automatically identifies pages and lines. We show that our method improves accuracy compared to earlier proposals for this kind of handwriting. An advantage of the new method is that it performs matching within a text line without presupposing that the difficult problem of segmenting the text line into individual words has been solved. We evaluate our word spotting implementation on two medieval manuscripts representing two script types. We also show that it can be useful by helping a user find words in a manuscript and present graphs of word statistics as a function of page number

Published in

Title: Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
ISBN: 978-1-4503-0916-5
Publisher: Association for Computing Machinery

Conference

2011 Workshop on Historical Document Imaging and Processing

SLU Authors

• Brun, Anders

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Computer Science
Computer Vision and Robotics (Autonomous Systems)


Publication identifier

DOI: https://doi.org/10.1145/2037342.2037355

Permanent link to this page (URI)

https://res.slu.se/id/publ/36342