582 research outputs found

    Classifiers in Image processing

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    Image classification is a necessary step in pattern recognition, the efficiency and accuracy mainly depends on the classification .To do the successful classification pre-processing, segmentation, at last feature extraction have to do. Recognition rate depends on all the steps but classification has its own importance in pattern recognition. Some important classifier such assupport vector machine (SVM),artificial neural network(ANN), decision tree, KNN etc. All has their importance in one or the other way. In this paper there is a discussion about many classifiers

    A Survey on Feature Extraction Techniques for Handwritten Character Recognition

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    The efficiency and accuracy of the optical character recognition system is very much dependent on the appropriate choice of the feature extraction techniques used. In the field of pattern recognition hand written character recognition is an interesting field of research. If the features calculated or observed for a character are enough and complete to specify it then classification errors can be minimized. So feature extraction plays a vital role in the handwritten character recognition. This paper describes about the different techniques of feature extraction

    An Effectual Hybrid Approach Using Data Encryption Standard (DES) and Secured Hash Algorithm (SHA) for Image Steganography

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    Today Security of data is of foremost importance in today’s world. Security has become one of the most important factor in communication and information technology. For this purpose steganography is used. Steganography is the art of hiding secret or sensitive information into digital media like images so as to have secure communication. In this paper we present and discuss LSB (Least Significant Bit) based image steganography with DES SHA algorithm so as to provide an extra layer of security

    Identification, Analysis & Empirical Validation (IAV) of Object Oriented Design (OO) Metrics as Quality Indicators

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    Metrics and Measure are closely inter-related to each other. Measure is defined as way of defining amount, dimension, capacity or size of some attribute of a product in quantitative manner while Metric is unit used for measuring attribute. Software quality is one of the major concerns that need to be addressed and measured. Object oriented (OO) systems require effective metrics to assess quality of software. The paper is designed to identify attributes and measures that can help in determining and affecting quality attributes. The paper conducts empirical study by taking public dataset KC1 from NASA project database. It is validated by applying statistical techniques like correlation analysis and regression analysis. After analysis of data, it is found that metrics SLOC, RFC, WMC and CBO are significant and treated as quality indicators while metrics DIT and NOC are not significant. The results produced from them throws significant impact on improving software quality

    Research Output of some Selected Indian Medical Research Institutions (2007-2011)

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    Research is the backbone of any subject field, not just required to be undertaken for its survival and sustenance but also for the furtherance of subject scope. Most of the research activities undertaken at any level are aimed towards the welfare and betterment of living being and humans being the first consideration. Medical research has always been the supreme fantasy of humans as it has got direct bearing upon human health and longevity of life. In the present study attempt has been made to have an analysis of medical literature produced in four most primer medical and research institutions of India. To undertake the study, data was retrieved from Web of Science, Thomson Reuters on November 08, 2012 and the analysis is being undertaken on those publications only identified on this particular databank. The study is undertaken with the view to assess the general publication trend of medical sciences in India by undertaking four primer medical institutions under study. Study of the related literature has also been undertaken so as to develop better understanding of the concept and thereby help in the furtherance of its scope

    Research Output of some Selected Indian Medical Research Institutions (2007-2011)

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    Research is the backbone of any subject field, not just required to be undertaken for its survival and sustenance but also for the furtherance of subject scope. Most of the research activities undertaken at any level are aimed towards the welfare and betterment of living being and humans being the first consideration. Medical research has always been the supreme fantasy of humans as it has got direct bearing upon human health and longevity of life. In the present study attempt has been made to have an analysis of medical literature produced in four most primer medical and research institutions of India. To undertake the study, data was retrieved from Web of Science, Thomson Reuters on November 08, 2012 and the analysis is being undertaken on those publications only identified on this particular databank. The study is undertaken with the view to assess the general publication trend of medical sciences in India by undertaking four primer medical institutions under study. Study of the related literature has also been undertaken so as to develop better understanding of the concept and thereby help in the furtherance of its scope

    Digital Transformation in Agricultural Practices: A Legal and Management Framework with Educational Implications

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    The analysis of the business to increase its application to gather substantial finance, and leave positive educational implications has been enabled with the aid of the management framework of digital transformation. The study has highlighted the innovative measures in the management framework and the education implications of such a process and examined the collected secondary qualitative data from the search database of Google Scholar
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