About

IUPR research focuses on large scale, practical applications of pattern recognition, image understanding, machine learning, and statistical language modeling.  The fundamental techniques we are developing are:
  • practical learning algorithms that scale to very large problem sizes
  • automatic parameter selection and validation for pattern recognition systems
  • problem instance-specific adaptation
  • validation and benchmarking of systems
  • massively parallel methods
  • statistical analysis of text and images
Optical character recognition is an excellent area for studying and evaluating approaches to these problems, as well as a useful application. We are currently building a system called OCRopus, designed for large scale digital library applications.  A second application is high quality 3D capture of books and art using low-cost digital cameras as part of project DECAPOD.  As part of project SICURA, we are developing object recognition and image database methods and software for security applications.

IUPR is funded through industrial contract research and public research grants.

Teaching

Please see our separate teaching page for a list of courses and course materials.

Thomas Breuel is on sabbatical for the winter semester 2011/12.


Research Projects




OCRopus Book OCR System

High performance document image processing, document analysis, character recognition, and statistical language processing.  OCRopus is made possible by the generous support from Google and the TextGrid project.

DECAPOD

3D Capture, Dewarping, and Archival Conversion of Books and other Historical Objects
  SICURA

Large scale object recognition and image database retrieval with applications to security X-ray images.


 
Prof. Dr. Thomas Breuel
Building. 48, Room 459
University of Kaiserslautern
Gottlieb-Daimler-Str.
67663 Kaiserslautern
Germany
Phone
 ++49 (0)631 205-3456
FAX
++49 (0)631 205-3357
E-mail

Secretary: Ingrid Romani
opening hours: Monday-Thursday 1:15 - 5 pm
                         Friday 1:15 - 3 pm
room 48-458
Phone ++49(0)631-205-3358

Jobs

Please see our Jobs Page.  For all job-related mail, please send mail to


Exam Dates / Prüfungen

For scheduling exam dates (Prüfungen), please contact

Appointments

Please send mail to:

Acknowledgements


Some of the organizations that have sponsored our work:


 

 



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