Voila Jones Face Detection Method

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Abstract— Abstract- This paper presents a correspondence measure method based on novel method which combines a permutation of Voila Jones Face detection method and Eigen face recognition (Identification) technique. In the proposed method, we come to overcome the problem of low accuracy. We propose a new system here to align the face using Voila Jones Face detection method followed by Eigen face recognition technique. Compared to other face detection methods, the proposed method is very efficient for the face detection purpose. The system is built to meet real time face recognition criteria. Keywords- Voila Jones Face detection method, Eigen face recognition (Identification) technique. I. INTRODUCTION The face plays a major role in our social …show more content…

Template based methods, which are the most popular technique used to recognize and detect faces, use a feature vector that represents the entire face template rather than only the most significant facial features. Model based methods, where a mathematical model is fitted for each face and models are compared in recognition process[13]. Eigen face approach is one of the earliest appearance-based face recognition methods, which was developed by M. Turk and A. Pentland in 1991. This method utilizes the idea of the Principal Component Analysis (PCA) which decomposes a face image into a small set of characteristic feature images called eigen faces and recognition (Identification) is performed by projecting a new face onto a low dimensional linear “face space” defined by the eigen faces, followed by computing the distance between the resultant position in the face space and those of known face classes …show more content…

The algorithm simply performs an exhaustive search using a sliding window, using different sizes, aspect ratios, and locations. The classification scheme used by the Viola-Jones method is actually a cascade of boosted classifiers. Each stage in the cascade is itself a strong classifier, in the sense it can obtain a really high rejection rate by combining a series of weaker classifiers in some fashion. In the method proposed by Viola and Jones, each weak classifier could at most depend on a single Haar

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