3,536 research outputs found

    An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image

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    Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person’s identity. A multimodal biometric systems consolidate the evidence presented by multiple biometric sources and typically better recognition performance compare to system based on a single biometric modality. This paper proposes an authentication method for a multimodal biometric system identification using two traits i.e. face and palmprint. The proposed system is designed for application where the training data contains a face and palmprint. Integrating the palmprint and face features increases robustness of the person authentication. The final decision is made by fusion at matching score level architecture in which features vectors are created independently for query measures and are then compared to the enrolment template, which are stored during database preparation. Multimodal biometric system is developed through fusion of face and palmprint recognition

    Classical q-deformed dynamics

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    On the basis of the quantum q-oscillator algebra in the framework of quantum groups and non-commutative q-differential calculus, we investigate a possible q-deformation of the classical Poisson bracket in order to extend a generalized q-deformed dynamics in the classical regime. In this framework, classical q-deformed kinetic equations, Kramers and Fokker-Planck equations, are also studied. Pacs: 05.20.Dd, 45.20.-d, 02.20.Uw Keywords: Kinetic theory, q-deformed classical mechanics, quantum groups, quantum algebrasComment: 8 pages, RevTex4; contribution to the international conference "Next Sigma Phi" on News, EXpectations, and Trends in statistical physics, Crete 200

    Classroom Environment, Scientific Creativity, Self-Concept as Predictors of Achievement in Science of Vii Standard Sc\St and Non Sc\St Students

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    Education is very important for the development of an individual as well as for the society as a whole. It helps an individual in his all round and integrated development, at macro level it provides well trained and highly skilled manpower. Which is vital for the progress of the society in all spheres-Economic, Social and Political

    INDIAN LANGUAGE TEXT MINING

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    India is the home of different languages, due to its cultural and geographical diversity. In the Constitution of India, a provision is made for each of the Indian states to choose their own official language for communicating at the state level for official purpose. In India, the growth in consumption of Indian language content started because of growth of electronic devices and technology. The availability of constantly increasing amount of textual data of various Indian regional languages in electronic form has accelerated. But not much work has been done in Indian languages text processing. So there is a huge gap from the stored data to the knowledge that could be constructed from the data. This transition won't occur automatically, that's where Text mining comes into picture. This research is concerned with the study and analyzes the text mining for Indian regional languages Text mining refers to such a knowledge discovery process when the source data under consideration is text. Text mining is a new and exciting research area that tries to solve the information overload problem by using techniques from information retrieval, information extraction as well as natural language processing (NLP) and connects them with the algorithms and methods of KDD, data mining, machine learning and statistics. Some applications of text mining are: document classification, information retrieval, clustering documents, information extraction, and performance evaluation. In this paper we made an attempt to show the need of text mining for Indian language

    Analysis of genetic variability in patchouli cultivars (Pogostemon cablin Benth.) by using RAPD Markers

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    The genetic relationships among patchouli cultivars were determined by using Random Amplified Polymorphic DNA (RAPD) technology. Among 45 decamer random primers used for PCR reactions, 10 primers showed reproducible results. Out of 98 amplification products recorded, 16.7 per cent were monomorphic and 83.3 per cent were polymorphic. The highest dissimilarity (7.35) was detected between KSM 4 and 5 and the least 3.61 between KSM 2 and 3. Dendrogram constructed by cluster analysis of RAPD markers using Unweighted Pair Group Method of Arithmetic Averages  (UPGMA) produced two major clusters ‘A’ and ‘B’. Cluster ‘A’ consisted of five cultivars that segregated into two sub clusters ‘A1’ and ‘A2’. Overall, RAPD analysis revealed the existence of considerable genetic variations in patchouli cultivars. This information regarding genetic variability at the molecular level could be used to identify and develop genetically unique germplasm that complements existing cultivars

    Origin, distribution and systematics of culinary cucumber (Cucumis melo subsp. agrestis var. conomon)

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    The non-dessert or culinary forms of C. melo are a distinct group distributed and adapted well essentially under humid tropics of Southern India. Culinary cucumber or vegetable cucumber (Cucumis melo subsp. agrestis var. conomon) belongs to the family Cucurbitaceae, genus Cucumis, species melo, subspecies agrestis and variety conomon. In English, it is popularly called as Mangaluru cucumber, Oriental pickling melon, Japanese pickling melon, golden melon, culinary melon, Indian yellow cucumber, yellow cucumber, lemon cucumber, and so on. Although much of the information about culinary cucumber calls them cucumbers they are not cucumbers! They are actually a part of the so called “conomon” group of melons (Cucumis melo). Traditionally the conomon melons have been used in the Far East for pickling. Culinary cucumbers have a special feature that the fruits can be stored up to 8-10 months without losing their freshness. They can be stored for many weeks by hanging them from the ceiling, firmly bound by thin coconut fibre ropes. This ethnic vegetable is used for preparation of various culinary items. Even seeds are used for preparation of juice against dyspepsia. In this review article, the aspects about the family to which culinary cucumber belongs, genus Cucumis, origin and distribution of the genus Cucumis, domestication of melons (Cucumis melo), intraspecific classification of Cucumis melo, genetic diversity in melons, crossability among Cucumis species, and among Cucumis melo subspecies, origin and distribution of culinary cucumber, uses, nutritional value, medicinal properties, evaluation of germplasm, high yielding varieties, cultivation aspects, have been discussed. Understanding the evolutionary history and domestication process, increases the possibility for better exploiting the genetic diversity for cultivar development. Its storage trait can be transferred to muskmelon by adopting a suitable breeding method. The local landraces or varieties which are highly tolerant to high temperature, drought, pests and diseases in summer, can also be employed as a useful breeding material

    Automatic Keyword Extraction from Dravidian Language

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    Keywords are significant words in a document that gives description of its content to the reader. They provide the summary of a document. Now a days the amount of electronic text increases rapidly in all the languages. So the text mining applications take the advantage of keywords for processing documents. There are few proposed methods for keyword extraction. But not much work has been done in keyword extraction for Indian languages. With exponential increase in the information in Indian languages on the web, automatic information processing and retrieval become an urgent need. Text Mining is essential for knowledge discovery from valuable texts available in many Indian languages. This paper introduces a method, which extracts the keywords from Dravidian languages of India like Tamil, Telugu, and Kannada. We made an attempt to extract the keywords by using words statistics of a documen
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