Android example of document scanning with OpenCV featuring edge detection, perspective correction, and image enhancement. Demonstrates implementation of camera preview, image processing, and OCR integration for document scanner applications.
Take any phone-taken picture and turn it into a document scan.
Automatically extract documents from images and perspectively correct them with classic computer-vision algorithms. In maintenance mode. Check out its successor at:
Android application for correcting perspective in photos.
Pytorch implementation for Perspective Plane Program Induction from a Single Image (P3I).
This is a projective geometry project aiming to correct perspective distortions in images after a user identifies pairs of horizontal and vertical lines.
iOS app that scans a photo and saves it with a custom timestamp and location data
PixSoR - Pixel Software Renderer with Shader Emulation.
Automatic photo rectification
Simple software rendering
A modern, web-based tool to fix skewed or distorted image perspectives using Bezier control points. Built with Next.js and fully browser-based.
Software rasterizer written in C++
An OpenCV project that automatically detects a document in an image and finds its corners for perspective correction. This notebook demonstrates a practical computer vision pipeline using morphological operations, Canny edge detection, and contour analysis to prepare for a "bird's-eye view" transformation.
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