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
Scan barcode, document and MRZ with Dynamsoft Capture Vision SDKs
[Software Engineering]
Python document detection SDK built with Dynamsoft Document Normalizer for Windows and Linux
A collection of quickstart samples demonstrating the DOT iOS SDK.
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.
This is a project for the course Image Analysis. The image treatement is mainly accomplished by mathematical morphology.
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