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)
An exceptional effort has been extended in making a computer recognize both typed and handwritten characters automatically. Quite recent still today, the characters of English Language is been the main explore area for our researchers. Tamil under Asian languages has little or no attention is been given. The challenges posed by Indian languages are(More)
Most the objective of intelligent systems is to create a model, which given a minimum amount of input data or information, is able to produce reliable recognition rates and correct decisions. In the application, when an individual classifier has reached its limit and, at the same time, it is hard to develop a better one, the solution might only be to(More)
Speech recognition has been an active research topic for more than 50 years. Interacting with the computer through speech is one of the active scientific research fields particularly for the disable community who face variety of difficulties to use the computer. Such research in Automatic Speech Recognition (ASR) is investigated for different languages(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)
Synthetic aperture radar (SAR) data represents a significant resource of information for a large variety of researchers. Thus, there is a strong interest in developing data encoding and decoding algorithms which can obtain higher compression ratios while keeping image quality to an acceptable level. In this work, results of different wavelet-based image(More)