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Laser induced breakdown spectroscopy (LIBS) is an atomic emission based spectroscopy that uses a laser pulse as the source of excitation. The laser is focused to form hot plasma, which atomizes and excites the sample. In the LIBS spectrum each “feature” is the amplitude or intensity detected at different wavelengths in the range of 200–1000 nm. Pattern recognition techniques were applied on samples...
In this paper, we address offline signature verification by proposing a new Partial Invariant Chord Oriented Gap (PICOG) feature. The new heuristically developed feature is conceptualized after observing the directional variation of the gaps (sequence of white pixels) between signature strokes. A set of unique and partial invariant chords is identified using genuine and forgery training signatures...
Optical Character Recognition alludes to the methodology of taking images or photos of letters or typewritten content and changing over them into information that a machine can easily interpret, e.g. organizations and libraries taking physical duplicates of books, magazines, or other old printed material and utilizing OCR to put them into computers. Segmentation is the indispensable and most difficult...
In this paper, a geostatistical approach was used to merge monthly level 3 aerosol optical depth (AOD) data from multiple remote sensing satellite sensors and ground based observation data set. MODIS and MISR AOD data along with Kanpur ground station AOD data were merged to form a spatio-temporal monthly AOD data set from January 2003 to December 2011 in the norther Indian region. To measure the accuracy...
Brain computer interface (BCI) establishes a communication between human brain and an external assistive device via a computer. This communication system is mainly used for physically challenged individuals as well as it can be used to command robot to do task depending on mental thought. In this paper, we are working on the Electroencephalogram (EEG) signals based BCI system because the EEG signals...
In Wireless Sensor Networks, directly sending large amount of data to the sink node may cause several problems. So, the data aggregation is a basic task in wireless sensor network. Certain application needs approximate data collection. In this paper, we focus on to collect a data approximately and efficiently with limited energy. So, we propose a technique called ADC (Approximate Data Collection),...
In the EEG signals, information is contained in a narrow frequency band. How does one selects the number of subbands either overlapping or non-overlapping and its bandwidth in context with the EEG signals is a key problem in the subband BSS. The authors propose a novel algorithmic approach to estimate the number of subbands and its bandwidth and applied to movement imagery classification. To ensure...
Estimation of position in the wireless sensor networks is presently taken as prime focus in the field of research and applications. Various innovative location-aware technologies and services are being investigated. Applications area are at present having expansion in both two and three dimensions. In Practical applications, generally only approximate distances are available from sensor to anchors;...
Recently Indian Handwritten character recognition is getting much more attention and researchers are contributing a lot in this field. But Malayalam, a South Indian language has very less works in this area and needs further attention. This paper focuses on an efficient algorithm for recognizing the handwritten Malayalam characters. Malayalam OCR is a complex task owing to the various character scripts...
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