Marimuthu Krishnaveni

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Research in Automatic Speech Recognition (ASR) has attracted a great deal of attention over the past five decades. It aims to provide an efficient way for human to communicate with computers. With the extensive development of these systems permits the user to talk almost naturally with computers. Hence, today's researchers are mainly focusing on developing(More)
Segmentation of target is an important step in forming realistic target models. To assist in classifying the relevant literature, two types of segmentation are identified where each type adds its own additional level of uniqueness. The first type is composed of the simplest forms of image analysis through thresholding, the second is characterized by region(More)
Research on ice conditions in the lakes and rivers plays an important role in the study of Climate change and Global warming. Satellite images can improve the possibilities for classification of ice as they cover large areas. Numerous researches have shown classification based on texture features can improve the precision of the interpretation. This paper(More)
The need of sign language is increasing radically especially to hearing impaired community. Only few research groups try to automatically recognize sign language from video, colored gloves and etc. Their approach requires a valid segmentation of the data that is used for training and of the data that is used to be recognized. Recognition of a sign language(More)
The ionosphere is defined as a region of the earth's upper atmosphere where sufficient ionisation can exist to affect the propagation of radio waves. Estimation of missing data of ionosphere total electron content (TEC) are crucial and remain as a challenge for GPS positioning and navigation system , space weather forecast, as well as many other Earth(More)
The essential research related to sign language recognition states that there is a need of remarkable progress in this domain. Selecting features is decisive to gesture recognition, as hand gestures are very fine in shape variation, motion and textures. For static posture recognition, although it is possible to recognize hand posture by extracting some(More)
A new-fangled method for ship wake detection in synthetic aperture radar (SAR) images is explored here. Most of the detection procedure applies the Radon transform as its properties outfit more than any other transformation for the detection purpose. But still it holds problems when the transform is applied to an image with a high level of noise. Here this(More)
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