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Hello ,
 
i am rina sharma .student of gujarat university . and i am doing a project on face recognition in c#.net .can anyone please help me with this,it is complelsary for me to complete the project to get my degree.i will be greatful if anyone can help me ...
please help me ...
my Email Id Is
[Edit]E-mail removed[/Edit]
Posted 25-Sep-12 22:06pm
Edited 25-Sep-12 22:44pm
v2
Comments
Kenneth Haugland at 26-Sep-12 3:44am
   
Dont post your e-mail in publich here, unless you like lots of SPAM :-)
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Solution 1

U can use this complete sample
 
Multiple face detection and recognition in real time[^]
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v2
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rina.j.sharma at 26-Sep-12 3:54am
   
i have tried this but it not accurate .it is giving very false results
Legor at 26-Sep-12 4:58am
   
So try to improve it?
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Solution 2

Have a look at the following:
Face Detection in C#[^]
Face Recognition in C#[^]
Camera Face Detection in C# Using Emgu CV (OpenCV in .NET)[^]
 
Look at them, try out, learn, make modifications if needed. Post specific question. It's your project, you should not try to get the exact working code from web and submit.
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Solution 3

The most face detection systems these days work with a version of the Viola & Jones algorithm. You can find many papers on this topic. For example this one:
http://www.cs.ubc.ca/~lowe/425/slides/13-ViolaJones.pdf[^]
 
If you use openCV you can use the provided face detector there which is also based on the Viola & Jones algorithm. It works pretty robust in different settings but it is not perfect (no face localisation is). But if you can develop a better face detection system then this you may become very popular Wink | ;)
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rina.j.sharma at 26-Sep-12 5:28am
   
thank you very much Legor ... can u suggest me any accurate technique in which i can do modification
Legor at 26-Sep-12 5:33am
   
No, not out of nowhere. You should know that it requires lots of research and work to improve existing face detection system. But this also is a topic researches all around the world are working on. So many scientific papers about this can be found on the internet.

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