Kailash J. Karande

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In this paper we address the problem of face recognition using edge information as independent components. The edge information is obtained by using Laplacian of Gaussian (LoG) and Canny edge detection methods then preprocessing is done by using Principle Component analysis (PCA) before applying the Independent Component Analysis (ICA) algorithm for(More)
This paper addresses the problem of face recognition under variation of illumination and poses with large rotation angles using Independent Component Analysis (ICA). Face recognition using ICA, based on information theory concepts, seek a computational model that best describes face, by extracting most relevant information contained in that face. ICA(More)
This paper proposes the noble multimodal biometric system using multiple biometric traits such as face, ear and finger. This combination of multimodal traits is unique combination offering a better authenticity and accuracy than the existing multimodal biometric systems. In this experimentation the discrete wavelet transforms (DWT) is used for extraction of(More)
This paper presents an efficient skin segmentation algorithm which depends on integration of different color models. Among different low level features such as edge, shape, color, texture; color processing is computationally fast and easy to implement. Color constancy is the ability of human vision system to resolve object colors in a scene independent of(More)
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