MATLAB Source Code for Perspective Correction of Small Document Images

Resource Overview

This integrated MATLAB source code implements perspective distortion correction for document images, featuring geometric transformation algorithms and key image processing functions.

Detailed Documentation

This MATLAB-based source code provides an integrated solution for perspective correction of small document images. The implementation utilizes geometric transformation algorithms to correct perspective distortions caused by camera angles or lens imperfections in document photographs. Core functionalities include corner detection using features like Harris corner detector or Hough transform, followed by perspective transformation through homography matrix calculation. The code employs MATLAB's Image Processing Toolbox functions such as imtransform or fitgeotrans for implementing the projective transformation. By automatically detecting document boundaries and applying correction algorithms, this solution restores document images to their original rectangular shape, significantly improving geometric accuracy and visual quality. The modular code structure allows users to modify parameters like threshold values for edge detection and adjust transformation matrices for different application scenarios. Users can enhance the algorithm by incorporating additional pre-processing steps like noise reduction or contrast enhancement, and optimize performance through parallel processing techniques for batch document correction tasks.