I am using OpenCV Face Recognition package and Haar Cascade classifier in python. Training is done with 10 images for each individual and a total of around 60 individual’s images have been trained. Though the algorithm works, at times the results are incorrect
- Getting low accurate and mismatch results when face captured by camera with low light
- Sometimes returning unknown results for trained individual.
What can be done to improve the accuracy and prevent the mismatches ?