Madhuri A. Joshi

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Research in motion analysis has evolved over the years as a challenging field, such as traffic monitoring, military, medicine and biological sciences etc. Detection and tracking of moving objects in video sequences can offer significant benefits to motion analysis. In this an approach is proposed for the detection and tracking of moving object in an image(More)
This paper presents a new approach to authenticate individuals using multiple biometric modalities. It deploys palm print and palm vein images for greater accuracy and flexibility. The contactless system uses a multispectral camera to capture the visible and Near Infrared Images (NIR) simultaneously. Subjects are allowed to place their hands freely below(More)
Internet has gained a lot of interest of customers. Maintaining good relations with customer is the major applications in web mining. The process of extracting useful information from web logs is called Web Usage Mining. This helps to improve the website performance by analyzing the user's interest and also adds profitability in business The main goal(More)
This paper proposes a biometric authentication system based on feature level fusion of face and fingerprint modalities. The proposed method utilizes Gabor filter bank with two scales and eight orientations, to extract directional features from source data. Usage of a small set of Gabor filters typically reduces the system processing time. To introduce a(More)
This paper proposes a bimodal biometric system for person identification using two traits, hand geometry and palm texture. The proposed system use complete hand images to find hand geometry and palm texture features. Unlike other multimodal biometric systems, the user does not have to undergo the inconvenience of using two different sensors as two(More)
Biometric modalities are being used for person recognition for over 40 years. Face has been extensively analyzed as a biometric modality. Palm vein is a permanent and difficult to spoof, modality. For person authentication, palm vein performs better than face. Fusion of both the modalities yield recognition rates that are higher than those obtained(More)
Main objective of speech enhancement is to improve perceptual aspects of speech such as overall quality, intelligibility and degree of listener fatigue. The Spectral Subtraction method is historically one of the first algorithms proposed by S.F Boll in 1979. In this method, an estimated speech signal is simply obtained by subtracting a preestimated noise(More)
Image fusion plays an important role in image enhancement and retrieval. For multi-focus image fusion as it is related to frequency distortion the wavelet with symmetric property is more useful to retrieve the image. Hence, to select the wavelet family, which provides better frequency resolution is of immense importance. Due to this property of haar and(More)