A short review paper on Face detection using Machine learning

Detecting faces in images is the first step of any face application such as face recognition ,face localization and face expression. The performance of face detection systems directly affect on correct operating of mentioned applications. Because faces are non-rigid and have high variation in scale ,color ,pose and lighting condition ,designing an automatic system to overcome all mentioned problems is difficult. Machine learning has been shown that is one of the most successful tools to build high performance face detection systems. Due to huge number of studies in this area ,studying all works in this field is tedious. 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. Keywords—Face detection, Machine Learning, Feature Extraction

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