FACE RECOGNITION AND DETECTION WITH NEW IMAGE ENHANCEMENT TECHNIQUES
ABSTRACT
Our aim is to detect and recognize faces in Digital Images. We have implemented our idea to train the computer to “see” or “know” how a typical face will be, a computer vision problem. Apart from using Neural Networks, we have used “Principal Component Analysis”(PCA) transform method combined with several distance measures in n-dimensional space to implement a face detection system. A test image is then scaled down into several smaller images and a sliding window is dragged across each image. The various distance measures are then used to classify the area inside the window as a face or not. Distance measures namely Euclidean distance and Mahalanobis distance have been used. We have also implemented new Image Enhancement techniques by an Image Algorithm.
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Our aim is to detect and recognize faces in Digital Images. We have implemented our idea to train the computer to “see” or “know” how a typical face will be, a computer vision problem. Apart from using Neural Networks, we have used “Principal Component Analysis”(PCA) transform method combined with several distance measures in n-dimensional space to implement a face detection system. A test image is then scaled down into several smaller images and a sliding window is dragged across each image. The various distance measures are then used to classify the area inside the window as a face or not. Distance measures namely Euclidean distance and Mahalanobis distance have been used. We have also implemented new Image Enhancement techniques by an Image Algorithm.
Click here to download the full paper
FACE RECOGNITION AND DETECTION WITH NEW IMAGE ENHANCEMENT TECHNIQUES
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Ahamed Yaseen
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07:19
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