Kailash J. Karande

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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)
AES represents an algorithm for advanced encryption standard consist of different operations required in the steps of encryption and decryption. The proposed architecture is based on optimizing area in terms of reducing no of slices required for design of AES algorithm in VHDL. This paper produces 3 step designs. AES (TOP), AES (1-9ROUNDS), AES(LAST ROUND)(More)
In this paper we have proposed a unique approach for face recognition based on modular Independent Component Analysis (ICA) with local facial features. The face images are segmented based on skin color using YCbCr color space. In this research work we have considered the samples of individual person which consist of sufficient number of images having pose(More)
  • K. J. Karande
  • 2012
In this paper we have proposed wavelet based edge detection algorithm that combines the coefficients of wavelet transforms on a series of scales. The outcome of this algorithm is edginess like information further used to obtain Independent Components using ICA algorithms. The combination of Multiscale wavelet based edge detection and Independent Component(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)
This paper describes face detection method using skin color information. Processing color information is faster than processing other facial features. There are different color models present for skin color segmentation like RGB, CMY, YUV, YIQ, YCbCr, YCgCr, HSI, etc. But to choose best option among these models for efficient skin color segmentation is(More)
This paper explores method for face detection where skin color models are integrated. In this research work different skin color models are analyzed and integrated to propose new and innovative approaches for face detection. These approaches are combination of uncommon features of most popular color models like YCbCr, YCgCr and HSI. In this study the(More)
This paper proposes the development of On-Board Diagnostic (OBD) system. Embedded on-board diagnostics system consists of master slave communication implemented through CAN network. Sensors are interfaced to slave microcontroller for monitoring various parameters of system. Master microcontroller produces diagnostic trouble codes (DTC) to indicate the(More)
This paper presents a distinctive approach of the authenticity of biometric system, improving the robustness with the help of multiple traits such as, face and ear using Discrete Wavelet Transform (DWT) and Principle Component Analysis (PCA). The wavelet coefficients are being extracted by using `Haar' and `Daubechies' wavelets, where only the approximation(More)
Osteoarthritis (OA) is most commonly a result of aging cartilage. Particularly in rural India, the percentage of people affected due to OA is much larger as compared to western countries. The reason may be due to lack of medical facilities and awareness of physical or diet practices as per our study. This paper focuses mainly on various aspects of severity(More)