Real-time detection of documents in images
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Updated
Aug 30, 2024 - Python
Real-time detection of documents in images
Android computer vision example demonstrating real-time rectangle detection using OpenCV. Features contour detection, shape analysis, and perspective transformation for document scanning. Includes UI overlay implementation and edge detection algorithms.
This repository contains a notebook to demonstrate the power of Document Text Recognition (DocTR) library
A collection of quickstart samples demonstrating the DOT Android SDK.
🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框,手动调节选区,使用透视变换裁剪并矫正选区;适用于身份证,名片,文档等照片的裁剪。
Document photo perspective transformation correction,利用unet网络进行 文档照片透视纠偏
.NET Document Detection and Rectification SDK built with Dynamsoft Document Normalizer
A collection of quickstart samples demonstrating the DOT Flutter SDK.
An interactive document scanner built in Python using OpenCV featuring automatic corner detection, image sharpening, and color thresholding.
A Flutter Document Scan SDK built with Dynamsoft Capture Vision
[Software Engineering]
Scan barcode, document and MRZ with Dynamsoft Capture Vision SDKs
A collection of quickstart samples demonstrating the DOT iOS SDK.
Python document detection SDK built with Dynamsoft Document Normalizer for Windows and Linux
It's is an Android document detection library built on top of OpenCV 4.4.0 It works best with a dark background.
A collection of quickstart samples demonstrating the DOT Android/iOS SDK in React Native project.
This app uses an SDK for facial and document ratings.
Document scanner using Houghlines transformation
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