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We are working on aproject for student attendance using face recognition and we are using LBP algorithm but the accuracy is very bad, and we couldnt find whats wrong or what to do...

What I have tried:

We have tried changing the images sizes so that the difference between training and testing dont be larg but we didnt have good results...
Posted
Updated 27-Apr-17 1:23am
Comments
Richard MacCutchan 16-Apr-17 3:06am    
Google for "image recognition" and you will find lots of help.

1 solution

Normally I would recommand to use OpenCV library, used like in the article Face and Eyes Detection Using OpenCV .

When writing an own algorithm is your task, you need to tweak it mostly with the data in the expected quality. When you check your code against the values of OpenCV you may find some issues. Start it with some simple and clean cases to from which points the problems are rising. That also helps to discuss how good the results are and where to go next.

Remember: Using an own algorithm has a lot of pitfalls as reliability, often unknown edge case are in the dark and precious resources are wasted to "re-invent the wheel" instead of pushing the project to success.
 
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