A Comprehensive Review on Face detection using Machine learning classification

Main Article Content

Anisha Sheikh, Kalpana Jain


Increased interest in biometric security systems makes face recognition a very effective research area. Now, we will take a look on basics of a face recognition system. In an image a face region is present where only facial features are present. In another terms it means we have to localize or concentrate only on the face region that means we are contemplating those parts of an image where a face may present. This research provides an up-to date survey of various existing recognition techniques but also represent precise descriptions of some methods. In addition to this other topics like issues of illumination and pose variation are also discussed in their work. The purpose of this short review paper is to present, categorize and evaluate some new face detection techniques using four conventional learning machine. The performance and the other evaluation parameters of these methods compare with each other in order to introduce significant techniques and also to state advantages and disadvantages of related works

Article Details

How to Cite
Anisha Sheikh, Kalpana Jain. (2019). A Comprehensive Review on Face detection using Machine learning classification. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 5(5), 45–53. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1963