Face Detection Essay

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Research paper software engineering
FACE DETECTION SYSTEMS BASED ARTIFICIAL NEURAL NETWORKS ALGORITHMS:
Abstract: Face detection is one of the most relevant applications of image processing and biometric systems. Artificial neural networks (ANN) have been used in the field of image processing and pattern recognition. There is lack of literature surveys which give overview about the studies and researches related to the using of ANN in face detection. The novelty of this work comes from the integration of A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. I would like to focus on some well-known face detection techniques and then some feature detection methods because until and unless we extract the important features (eyes, nose, mouth) from a face we won’t be able to uniquely identify the person properly. The dissimilarity between the two shapes is computed as some of
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In the first step, we localize the face region that means we are anticipating those parts of an image where a face may present. In the second step we normalize the detected region, so that the alignments of various facial features are in the proper location. In the third step we extract various facial features like eyes, nose, mouth, etc [1]. And in the forth step, we actually verify whether the anticipated parts are actually carrying out a face or not. We are doing this using some rules, template or image databases. The concept of extraction can be implemented by various techniques. There are a huge number of papers regarding the literature survey of face detection [2]. Most of the earlier work was on the frontal upright face, but recent work is mainly focus on non-frontal face with variation in their alignment. Also instead of still image, they are considering video stream
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