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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)
Since the birth of the automated karyotyping systems by the aid of computers, building a fully automated chromosome analysis system has been an ultimate goal. Along with many other challenges, automating chromosome classification and segmentation has been a major challenge especially due to overlapping and touching chromosomes. The earlier reported methods(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)
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)
— We propose a fragment based algorithm for efficient target tracking under significant scale variation and partial occlusion. In contrast, none of the previous multiple part or fragment based algorithms are both scale adaptive and robust to partial occlusion. In our algorithm, the target is divided into a number of overlapping image fragments. Their color(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)
—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)