Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MResTNet: A Multi-Resolution Transformer Framework with CNN Extensions for Semantic Segmentation.

Journal of imaging·2024
Same author

HTR for Greek Historical Handwritten Documents.

Journal of imaging·2021
Same author

Word Spotting as a Service: An Unsupervised and Segmentation-Free Framework for Handwritten Documents.

Journal of imaging·2021
Same author

Deep Learning for Breast Cancer Diagnosis from Mammograms-A Comparative Study.

Journal of imaging·2021
Same author

Integrating segmentation information into CNN for breast cancer diagnosis of mammographic masses.

Computer methods and programs in biomedicine·2021
Same author

Foreword to the special section on 3D Object Retrieval 2020 workshop (3DOR2020).

Computers & graphics·2020
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Jun 8, 2026

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Goal-oriented rectification of camera-based document images.

Nikolaos Stamatopoulos1, Basilis Gatos, Ioannis Pratikakis

  • 1Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece. nstam@iit.demokritos.gr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 30, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to fix distorted document images, significantly improving optical character recognition (OCR) accuracy. The technique uses a coarse-to-fine strategy to correct warping and perspective issues in digitized documents.

More Related Videos

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
08:18

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Related Experiment Videos

Last Updated: Jun 8, 2026

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
07:03

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
08:18

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Area of Science:

  • Computer Vision
  • Document Image Analysis
  • Optical Character Recognition (OCR)

Background:

  • Digitized document images frequently exhibit warping and perspective distortions.
  • These distortions negatively impact the performance of Optical Character Recognition (OCR) systems.
  • Existing methods often require specific model primitives or camera parameters.

Purpose of the Study:

  • To present a goal-oriented rectification methodology for document images.
  • To enhance the accuracy of OCR by compensating for image distortions.
  • To develop a distortion correction method independent of camera setup or model primitives.

Main Methods:

  • A coarse-to-fine rectification strategy is employed.
  • Coarse rectification uses a low-cost transformation for curved surface projection, guided by textual content.
  • Word-level pose normalization is applied to restore local distortions.

Main Results:

  • The proposed methodology effectively rectifies document image distortions.
  • Experimental results demonstrate robustness across various distortion types.
  • The approach shows significant improvements in OCR accuracy.

Conclusions:

  • The presented rectification methodology is robust and effective for improving OCR performance.
  • The technique offers a practical solution for correcting common document image distortions.
  • This work contributes to more reliable document image analysis and OCR.