HaarCascade and LBPH Algorithms in Face Recognition Analysis
Mridul Gupta, Karan Bisht, Abhay Sharma, Deepak Upadhyay
Abstract
Different face detection techniques are being used for ages. Taking a step forward, recognizing the human face from the database or getting the new face in the database by capturing in either video or by training the code with the pre-install images in the data base for face recognition has been proposed here. Human face detection is necessity for the modern Artificial Intelligence system that can recognize the face in live feeds. This can be helpful to make informative decisions for the identification of the people, by offering security related threats, and also by other means. Recognizing human faces from the images and live video feeds or videos can be insignificant task for machines and required many image processing techniques for feature landmarks. Numerous Machine Learning Algorithms and their testing on datasets is required. In this paper, HaarCascade face recognition and Local Binary Pattern Histogram are used for feature extraction which will help in identification of human face.