R. R. Sedamkar

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Online signature recognition is one of the important behavioral biometric trait. This signature has information of x, y, z variations, pressure, azimuth of pen tip, pen tip altitude. This makes online handwritten signature based biometric system more accurate than the static ones. In this paper new set of features are proposed for online or dynamic(More)
This paper proposes weighted decision fusion for classification on a sample hyperspectral image which has two characteristics 1) Spatial and 2) Spectral. Spatial is nothing but within a single band and Spectral means narrow spectral bands over a continuous spectral range.The Weighted Majority voting rule is introduced which is likely to enhance the(More)
This paper proposes low complexity codec for lossy compression on a sample hyperspectral image. These images have two kinds of redundancies: 1) spatial; and 2) spectral. A discrete cosine transform (DCT)based Distributed Source Coding(DSC) paradigm with Arithmetic code for low complexity is introduced. Here, Set-partitioning based approach is applied to(More)
the demand for mobile communication has been growing day by day. Resource flexibility is one of the most important issues in the coming generation of mobile communication. Different techniques are required to increase the efficiency & flexibility of the network to deal with new services and to adopt the new traffic profiles and characteristics. This paper(More)
There are several shortcomings in the existing data migration techniques in Hierarchical Storage Systems (HSS). The first and the most important among them is that data migration policies are user defined hence static and reactive. Secondly, data migration at the host side is not yet completely explored. The other major drawbacks are that each storage tier(More)
The project aims to build a monocular vision autonomous car prototype using Raspberry Pi as a processing chip. An HD camera along with an ultrasonic sensor is used to provide necessary data from the real world to the car. The car is capable of reaching the given destination safely and intelligently thus avoiding the risk of human errors. Many existing(More)
www.ijarcet.org 2252 Abstract— Semantic similarity measures play an important role in Information Retrieval, Natural Language Processing and Web Mining applications such as community mining, relation detection, entity disambiguation and document clustering etc. This paper proposes Page Count and Snippets Method (PCSM) to estimate semantic similarity between(More)
Determining the bug signatures(context of bug) is difficult, as it involves mining the execution traces of the program. The discriminative graph mining algorithm is used to identify the bug signatures. It requires manual labelling of the input set to estimate the discriminative subgraphs. To reduce the tedious work of manual labelling, this paper presents(More)
Accuracy of the altitude measurement of aircraft is very critical in navigation. Radar Altimeter measurements being noisy, requires to be manipulated. The Kalman filtering technique is used to obtain the optimum estimate of the range from the Radar Altimeter of an aircraft. The Kalman filter is a recursive predictive filter that uses state space techniques(More)
In this paper different types of image classification will be studied. Decision level fusion, using a specific criterion or algorithm to integrate the classified results from different classifiers, has shown great benefits to improve classification accuracy of multi-source remote sensing images. Based on a survey to hyperspectral remote sensing(More)