Machine Readable Zones (MRZ) are vital components of passports, visas, and other identification documents. Typically located at the bottom of a document’s front page, MRZs contain essential information such as the document type, holder’s name, issuing country, and expiration date. In today’s digital landscape, MRZ recognition is an invaluable tool...

Building a NuGet package with iOS frameworks for .NET MAUI development is significantly more complicated than for Android. In this article, we will explore the process of adding iOS frameworks to an existing NuGet package that already supports Windows, Linux and Android. Our goal is to create a comprehensive NuGet...

The Capture.Vision.Maui NuGet package aims to equip developers with a .NET MAUI library, featuring a camera view and various image processing functions. This library streamlines the development of .NET MAUI applications across multiple platforms, including Windows, Android, and iOS. Previously, we introduced barcode scanning capabilities within the .NET MAUI library....

In our previous article, we explained how to develop API endpoints for reading barcodes, recognizing MRZ, and rectifying document images in Node.js. In this article, we will integrate these REST API endpoints with the low-code platform Power Apps. This article is Part 2 in a 2-Part Series. Part 1 -...

Two months ago, we published a repository demonstrating how to build a RESTful service with .NET and Dynamsoft Vision SDKs. In this tutorial, the server-side programming language is changed to Node.js. We will go through the steps of creating REST endpoints for scanning documents, decoding barcodes, detecting MRZ, and rectifying...

RESTful service can be accessed from anywhere with an internet connection, irrespective of platform or device. Deploying a commercial SDK as a RESTful service can simplify integration, improve accessibility, and provide better control over the deployment environment and usage. In this article, we’ll delve into how you can effortlessly integrate...

Machine-Readable Zone (MRZ) recognition is an essential technology in various sectors, including security, immigration, and automation. Its application in Android software can enhance a wide array of services by enabling quick and accurate data capture from identification documents like passports and ID cards. This article aims to guide you through...

Passport Machine Readable Zone (MRZ) detection is sensitive to the orientation of the passport. If the passport is not right side up, the MRZ detection rate will be low. In this article, we will discuss how to improve the MRZ detection rate from rotated images with Python. Edge detection, perspective...

Dynamsoft’s Capture Vision SDKs consist of the Dynamsoft Document Normalizer, Dynamsoft Barcode Reader, and Dynamsoft Label Recognizer. All of these SDKs are cross-platform, supporting Windows, Linux, Android, iOS and web. Each vision SDK can be used independently or in combination with others. In this article, we’ll show you how to...

This article aims to help C# developers to build desktop .NET MRZ (Machine Readable Zone) scanner applications with Dynamsoft C++ Label Recognizer SDK. We firstly build a .NET class library for detecting MRZ zone and extracting MRZ text from passport, ID card, and travel documents. Then we demonstrate how to...

This article aims to build a Node.js module to recognize MRZ from passport, ID card, and travel documents on Windows and Linux. The module is implemented based on Dynamsoft C++ OCR SDK. Prerequisites Node.js Platform-specific C/C++ compiler TypeScript npm install -g typescript npm install --save @types/node node-gyp npm i node-gyp...

The latest version 2.2.10 of Dynamsoft Label Recognizer C++ SDK has optimized the MRZ recognition model, which is much smaller and more accurate than the previous version. It now supports recognizing MRZ from passport, Visa, ID card and travel documents. To facilitate developing desktop MRZ recognition software, we can bind...

If you search for passport scanner software or MRZ reader software, you will find many of them are only available for mobile devices. For police officers, scanning passports by mobile devices is convenient when they are patrolling. However, for customs and immigration officers, they usually use desktop system and professional...