DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Related

  • Role of C# in Building Dynamic and Secure Web Applications
  • How to LINQ Between Java and SQL With JPAStreamer
  • Unlocking the Potential of Binary Search Trees with C# Programming
  • C# vs. Python vs. C++ for Game Development

Trending

  • The Cypress Edge: Next-Level Testing Strategies for React Developers
  • How to Practice TDD With Kotlin
  • A Guide to Container Runtimes
  • Solid Testing Strategies for Salesforce Releases

Face Recognition in C#

By 
Amir Ahani user avatar
Amir Ahani
·
Feb. 02, 12 · Interview
Likes (0)
Comment
Save
Tweet
Share
83.5K Views

Join the DZone community and get the full member experience.

Join For Free

Emgu CV is a cross platform .Net wrapper to the Intel OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Linux / Mac OS X. Unlike other wrappers such as OpenCVDotNet, SharperCV which use unsafe code, Emgu CV is written entirely in C#. The benefit is that it can be compiled in Mono and therefore is able to run on any platform Mono supports, including Linux, Solaris and Mac OS X. A lot of efforts has been spend to have a pure C# implementation since the headers have to be ported, compared with managed C++ implementation where header files can simply be included. But it is well worth it if you see Emgu CV running on Fedora 10! Plus it always gives you the comfort knowing that your code is cross-platform.

Face Recognition

1- Create a Windows Form Application
2- Add a PictureBox and a Timer (and Enable it)
3- Run it on a x86 system
4- Be sure you have the OpenCV relevant dlls (included with the Emgu CV download) in the folder where you code executes.
5- Adjust the path to find the Haarcascade xml (last line of the code)

using System;
using System.Windows.Forms;
using System.Drawing;
using Emgu.CV;
using Emgu.Util;
using Emgu.CV.Structure;
using Emgu.CV.CvEnum;

namespace opencvtut
{
public partial class Form1 : Form
{
private Capture cap;
private HaarCascade haar;

public Form1()
{
InitializeComponent();
}

private void timer1_Tick(object sender, EventArgs e)
{
using (Image<Bgr, byte> nextFrame = cap.QueryFrame())
{
if (nextFrame != null)
{
// there’s only one channel (greyscale), hence the zero index
//var faces = nextFrame.DetectHaarCascade(haar)[0];
Image<Gray, byte> grayframe = nextFrame.Convert<Gray, byte>();
var faces =
grayframe.DetectHaarCascade(
haar, 1.4, 4,
HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(nextFrame.Width/8, nextFrame.Height/8)
)[0];

foreach (var face in faces)
{
nextFrame.Draw(face.rect, new Bgr(0,double.MaxValue,0), 3);
}
pictureBox1.Image = nextFrame.ToBitmap();
}
}
}

private void Form1_Load(object sender, EventArgs e)
{
// passing 0 gets zeroth webcam
cap = new Capture(0);
// adjust path to find your xml
haar = new HaarCascade(
“..\\..\\..\\..\\lib\\haarcascade_frontalface_alt2.xml”);
}
}
}

 

Source: http://blog.csharplearners.com/2012/01/30/face-recognation-c/

csharp

Opinions expressed by DZone contributors are their own.

Related

  • Role of C# in Building Dynamic and Secure Web Applications
  • How to LINQ Between Java and SQL With JPAStreamer
  • Unlocking the Potential of Binary Search Trees with C# Programming
  • C# vs. Python vs. C++ for Game Development

Partner Resources

×

Comments

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends: