Biomedical Imaging Group
Logo EPFL
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem
Follow us on Twitter.
Join our Github.
Masquer le formulaire de recherche
Menu
BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)
  1. School of Engineering STI
  2. Institute IEM
  3.  LIB
  4.  Student Projects
  • Laboratory
    • Laboratory
    • Laboratory
    • People
    • Jobs and Trainees
    • News
    • Events
    • Seminars
    • Resources (intranet)
    • Twitter
  • Research
    • Research
    • Researchs
    • Research Topics
    • Talks, Tutorials, and Reviews
  • Publications
    • Publications
    • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
    • Code
    • Code
    • Demos
    • Download Algorithms
    • Github
  • Teaching
    • Teaching
    • Teaching
    • Courses
    • Student projects
  • Splines
    • Teaching
    • Teaching
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
  • Sparsity
    • Teaching
    • Teaching
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
  • Imaging
    • Teaching
    • Teaching
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
  • Machine Learning
    • Teaching
    • Teaching
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem

Students Projects

Proposals  On-Going  Completed  

Image processing to facilitate Optical Character Recognition

2009
Master Semester Project
Project: 00181

00181
Optical Character Recognition (OCR) is extensively used in automated digitisation of libraries. This task can raise several difficulties. However, since we have strong a priori on the data to be recovered (the text) we expect to be able to recover it fairly well.

In this project, we are interested in developping preprocessings in order to facilitate the OCR. Particularly, we will focus on the distortions that appear in the central part of a book (see the picture).

Things that can be done:
  • Estimate and correct geometric distortions
  • Compensate for the contrast
  • Deblur parts that are not in-focus
The quality of the preprocessing will be quantified thanks to the success ratio of an OCR engine: Tesseract.

This work could be implemented as a java-ImageJ plugin.
  • Supervisors
  • Guerquin-Kern Matthieu, matthieu.guerquin-kern@epfl.ch, 35142, BM 4.140
  • Michael Unser, michael.unser@epfl.ch, 021 693 51 75, BM 4.136
  • Laboratory
  • Research
  • Publications
  • Code
  • Teaching
    • Courses
    • Student projects
Logo EPFL, Ecole polytechnique fédérale de Lausanne
Emergencies: +41 21 693 3000 Services and resources Contact Map Webmaster email

Follow EPFL on social media

Follow us on Facebook. Follow us on Twitter. Follow us on Instagram. Follow us on Youtube. Follow us on LinkedIn.
Accessibility Disclaimer Privacy policy

© 2023 EPFL, all rights reserved