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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Implementation Discrete Cosine Transform and Radial Basis Function Neural Network in Facial Image Recognition
verfasst von : Marprin H. Muchri, Samuel Lukas, David Habsara Hareva
Erschienen in: Intelligence in the Era of Big Data
Verlag: Springer Berlin Heidelberg
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Facial image recognition has been widely used and implemented in many aspects of life such as, investigation area or security purposes. However, research in this area is still been done. Source images of this paper are taken from image library provided in description of the Collection of Facial Images, 2008. This paper explains how 35 faces in JPG format with dimension 180 x 180 pixels can be represented by only 3 x 3 DCT coefficients and can be recognized fully 100% by Radial Basis Function Network.