Performance Analysis of Face Detection Algorithms for Efficient Comparison of Prediction Time and Accuracy

Face detection is one of challenges in image processing. It is necessary to compare two or more face detection algorithm to effectively select candidate algorithms based on their detection time and accuracy. In this paper we analyze three face detection algorithms and then provide accuracy and performance of each algorithm. Candidate algorithms for face detection method are skin color, haar feature and facial feature. Based on our analysis, we have checked that each algorithm has their unique characteristics and our experimental results show that, depend on algorithms, their detection accuracy varies 66%, 87%, 93%, respectively.

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