919 resultados para Legal documents.
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The following topics were dealt with: document analysis and recognition; multimedia document processing; character recognition; document image processing; cheque processing; form processing; music processing; document segmentation; electronic documents; character classification; handwritten character recognition; information retrieval; postal automation; font recognition; Indian language OCR; handwriting recognition; performance evaluation; graphics recognition; oriental character recognition; and word recognition
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We propose a set of metrics that evaluate the uniformity, sharpness, continuity, noise, stroke width variance,pulse width ratio, transient pixels density, entropy and variance of components to quantify the quality of a document image. The measures are intended to be used in any optical character recognition (OCR) engine to a priori estimate the expected performance of the OCR. The suggested measures have been evaluated on many document images, which have different scripts. The quality of a document image is manually annotated by users to create a ground truth. The idea is to correlate the values of the measures with the user annotated data. If the measure calculated matches the annotated description,then the metric is accepted; else it is rejected. In the set of metrics proposed, some of them are accepted and the rest are rejected. We have defined metrics that are easily estimatable. The metrics proposed in this paper are based on the feedback of homely grown OCR engines for Indic (Tamil and Kannada) languages. The metrics are independent of the scripts, and depend only on the quality and age of the paper and the printing. Experiments and results for each proposed metric are discussed. Actual recognition of the printed text is not performed to evaluate the proposed metrics. Sometimes, a document image containing broken characters results in good document image as per the evaluated metrics, which is part of the unsolved challenges. The proposed measures work on gray scale document images and fail to provide reliable information on binarized document image.
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When document corpus is very large, we often need to reduce the number of features. But it is not possible to apply conventional Non-negative Matrix Factorization(NMF) on billion by million matrix as the matrix may not fit in memory. Here we present novel Online NMF algorithm. Using Online NMF, we reduced original high-dimensional space to low-dimensional space. Then we cluster all the documents in reduced dimension using k-means algorithm. We experimentally show that by processing small subsets of documents we will be able to achieve good performance. The method proposed outperforms existing algorithms.
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The broader goal of the research being described here is to automatically acquire diagnostic knowledge from documents in the domain of manual and mechanical assembly of aircraft structures. These documents are treated as a discourse used by experts to communicate with others. It therefore becomes possible to use discourse analysis to enable machine understanding of the text. The research challenge addressed in the paper is to identify documents or sections of documents that are potential sources of knowledge. In a subsequent step, domain knowledge will be extracted from these segments. The segmentation task requires partitioning the document into relevant segments and understanding the context of each segment. In discourse analysis, the division of a discourse into various segments is achieved through certain indicative clauses called cue phrases that indicate changes in the discourse context. However, in formal documents such language may not be used. Hence the use of a domain specific ontology and an assembly process model is proposed to segregate chunks of the text based on a local context. Elements of the ontology/model, and their related terms serve as indicators of current context for a segment and changes in context between segments. Local contexts are aggregated for increasingly larger segments to identify if the document (or portions of it) pertains to the topic of interest, namely, assembly. Knowledge acquired through such processes enables acquisition and reuse of knowledge during any part of the lifecycle of a product.
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In optical character recognition of very old books, the recognition accuracy drops mainly due to the merging or breaking of characters. In this paper, we propose the first algorithm to segment merged Kannada characters by using a hypothesis to select the positions to be cut. This method searches for the best possible positions to segment, by taking into account the support vector machine classifier's recognition score and the validity of the aspect ratio (width to height ratio) of the segments between every pair of cut positions. The hypothesis to select the cut position is based on the fact that a concave surface exists above and below the touching portion. These concave surfaces are noted down by tracing the valleys in the top contour of the image and similarly doing it for the image rotated upside-down. The cut positions are then derived as closely matching valleys of the original and the rotated images. Our proposed segmentation algorithm works well for different font styles, shapes and sizes better than the existing vertical projection profile based segmentation. The proposed algorithm has been tested on 1125 different word images, each containing multiple merged characters, from an old Kannada book and 89.6% correct segmentation is achieved and the character recognition accuracy of merged words is 91.2%. A few points of merge are still missed due to the absence of a matched valley due to the specific shapes of the particular characters meeting at the merges.
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Resumen: Este artículo procura dar cuenta del escenario legal y político abierto con la sanción de la ley de Derechos Políticos de la Mujer en 1947. Entre ellos, los mecanismos que el estado solventó con el empadronamiento de las mujeres y la confección de los documentos de identidad; la sanción de la normativa acorde al voto femenino en las provincias a fin de no desvirtuar el espíritu de ley nacional; y la ley de Estatutos de Partidos Políticos. Los aspectos políticos revelaban los cambios y reacomodamientos de la rama femenina que integraban los centros cívicos partidarios; la aparición en escena y el juego político que emprendieron algunas primeras damas provinciales. Todos estos temas son analizados a la luz de la incesante metamorfosis que adquiría Eva Perón, que troca de primera dama a líder popular.
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Resumen: El autor analiza el contenido de las denominadas directivas previas o testamento vital, que una persona puede instrumentar a efectos de instruir a los médicos que en el futuro la atiendan en el supuesto de no poder en ese momento expresar su voluntad, relacionadas con los tratamientos que está dispuesta a que le sean aplicados. Se hace referencia al alcance, los inconvenientes y peligros que traen aparejadas dichas directivas, su tiempo de validez y la situación actual en otros países y en el nuestro, así como una escueta reseña de dos sentencias dictadas en el país al respecto.
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Resumen: Este artículo explora aspectos de la vida cotidiana en la colonia judía de Elefantina (siglo V AEC) en la frontera sureste de Egipto. Centrado en la historia de su descubrimiento y publicación, son considerados los orígenes de la colonia, el estatus de sus miembros así como las prácticas religiosas y legales de los colonos judíos tal como lo reflejan sus documentos.
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Estudo sobre o setor mineral brasileiro com abordagem dos aspectos jurídicos e econômicos. Inclui relatório, projeto de lei, artigos de especialistas e compilação das apresentações do seminário "Setor mineral: rumo a um novo marco legal", ocorrido em dezembro de 2010.
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Informações sobre a legislação federal referente ou aplicável à pessoa com deficiência visual. Texto com tipos ampliados.
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Traz os debates e discussões realizadas na Audiência Pública, realizada em 24 de abril de 2012, na Câmara dos Deputados. Aborda a situação da aviação, fazendo um recorte nas regiões Norte e Nordeste.
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Consultoria de Orçamento e Fiscalização Financeira, Núcleo de Saúde.
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Consultoria Legislativa - Área XII - Recursos Minerais, Hídricos e Energéticos.
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Consultoria Legislativa - Área VII - Sistema Financeiro, Direito Comercial, Econômico, Defesa do Consumidor.