847 resultados para Biometric Descriptor


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Handwriting is an acquired tool used for communication of one's observations or feelings. Factors that inuence a person's handwriting not only dependent on the individual's bio-mechanical constraints, handwriting education received, writing instrument, type of paper, background, but also factors like stress, motivation and the purpose of the handwriting. Despite the high variation in a person's handwriting, recent results from different writer identification studies have shown that it possesses sufficient individual traits to be used as an identification method. Handwriting as a behavioral biometric has had the interest of researchers for a long time. But recently it has been enjoying new interest due to an increased need and effort to deal with problems ranging from white-collar crime to terrorist threats. The identification of the writer based on a piece of handwriting is a challenging task for pattern recognition. The main objective of this thesis is to develop a text independent writer identification system for Malayalam Handwriting. The study also extends to developing a framework for online character recognition of Grantha script and Malayalam characters

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This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image. The image sub-blocks are roughly identified by segmenting the image into partitions of different configuration, finding the edge density in each partition using edge thresholding, morphological dilation and finding the corner density in each partition. The colour and texture features of the identified regions are computed from the histograms of the quantized HSV colour space and Gray Level Co- occurrence Matrix (GLCM) respectively. A combined colour and texture feature vector is computed for each region. The shape features are computed from the Edge Histogram Descriptor (EHD). Euclidean distance measure is used for computing the distance between the features of the query and target image. Experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods

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This paper proposes a content based image retrieval (CBIR) system using the local colour and texture features of selected image sub-blocks and global colour and shape features of the image. The image sub-blocks are roughly identified by segmenting the image into partitions of different configuration, finding the edge density in each partition using edge thresholding, morphological dilation. The colour and texture features of the identified regions are computed from the histograms of the quantized HSV colour space and Gray Level Co- occurrence Matrix (GLCM) respectively. A combined colour and texture feature vector is computed for each region. The shape features are computed from the Edge Histogram Descriptor (EHD). A modified Integrated Region Matching (IRM) algorithm is used for finding the minimum distance between the sub-blocks of the query and target image. Experimental results show that the proposed method provides better retrieving result than retrieval using some of the existing methods

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Fingerprint based authentication systems are one of the cost-effective biometric authentication techniques employed for personal identification. As the data base population increases, fast identification/recognition algorithms are required with high accuracy. Accuracy can be increased using multimodal evidences collected by multiple biometric traits. In this work, consecutive fingerprint images are taken, global singularities are located using directional field strength and their local orientation vector is formulated with respect to the base line of the finger. Feature level fusion is carried out and a 32 element feature template is obtained. A matching score is formulated for the identification and 100% accuracy was obtained for a database of 300 persons. The polygonal feature vector helps to reduce the size of the feature database from the present 70-100 minutiae features to just 32 features and also a lower matching threshold can be fixed compared to single finger based identification

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For the last twenty years, the consumption of poultry meat has boomed in Vietnam as in the rest of the developing world. Capital-intensive production has grown rapidly to satisfy this demand. Based on a few numbers of genetically uniform strains, these systems threaten biodiversity. In Vietnam, both rural and urban households still keep indigenous chickens as part of a diversified livelihood portfolio. In line with the national in situ conservation strategy, this study approached the context of local poultry keeping in two rural and one suburban districts of Northern Vietnam. It aimed at understanding households’ willingness, constraints and opportunities for practice improvement, including breeds’ management. As the Ri chicken constitutes the large majority of backyard flocks, two particular objectives of this study are the morpho-biometric characterisation of phenotypic diversity among individuals classified as Ri by farmers and an assessment of their productive potential. Chicken was found to hold a different place in livelihoods of the three districts with consequences on the management of genetic resources. The most favourable conditions for improvement of the Ri breed was found in the rural district of Luong-Son, due to market integration. In the more remote district of Ky-Son, living standards were lower and much would be gained from Ri conservation. Ri breed was the most threatened in the suburban Gia-Lam district, where poultry was a minor side-activity, lacking incentive for genetic management. From motives and constraints, tracks about breeding goals are suggested. Further considerations about conservation, improvement, market integration and livelihoods are proposed.

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The main objective of this thesis was to determine the potential impact of heat stress (HS) on physiological traits of lactating cows and semen quality of bulls kept in a temperate climate. The thesis is comprised of three studies. An innovative statistical modeling aspect common to all three studies was the application of random regression methodology (RRM) to study the phenotypic and genetic trajectory of traits in dependency of a continuous temperature humidity index (THI). In the first study, semen quality and quantity traits of 562 Holstein sires kept on an AI station in northwestern Germany were analyzed in the course of THI calculated from data obtained from the nearest weather station. Heat stress was identified based on a decline in semen quality and quantity parameters. The identified general HS threshold (THI = 60) and the thermoneutal zone (THI in the range from 50 to 60) for semen production were lower than detected in studies conducted in tropical and subtropical climates. Even though adult bulls were characterized by higher semen productivity compared to younger bulls, they responded with a stronger semen production loss during harsh environments. Heritabilities (low to moderate range) and additive genetic variances of semen characteristics varied with different levels of THI. Also, based on genetic correlations genotype, by environment interactions were detected. Taken together, these findings suggest the application of specific selection strategies for specific climate conditions. In the second study, the effect of the continuous environmental descriptor THI as measured inside the barns on rectal temperatures (RT), skin temperatures (ST), vaginal temperatures (VT), respiration rates (RR), and pulse rate (PR) of lactating Holstein Friesian (HF) and dual-purpose German black pied cattle (DSN) was analyzed. Increasing HS from THI 65 (threshold) to THI 86 (maximal THI) resulted in an increase of RT by 0.6 °C (DSN) and 1 °C (HF), ST by 3.5 °C (HF) and 8 °C (DSN), VT by 0.3 °C (DSN), and RR by 47 breaths / minute (DSN), and decreased PR by 7 beats / minute (DSN). The undesired effects of rising THI on physiological traits were most pronounced for cows with high levels of milk yield and milk constituents, cows in early days in milk and later parities, and during summer seasons in the year 2014. In the third study of this dissertation, the genetic components of the cow’s physiological responses to HS were investigated. Heat stress was deduced from indoor THI measurements, and physiological traits were recorded on native DSN cows and their genetically upgraded crosses with Holstein Friesian sires in two experimental herds from pasture-based production systems reflecting a harsh environment of the northern part of Germany. Although heritabilities were in a low range (from 0.018 to 0.072), alterations of heritabilities, repeatabilities, and genetic components in the course of THI justify the implementation of genetic evaluations including heat stress components. However, low repeatabilities indicate the necessity of using repeated records for measuring physiological traits in German cattle. Moderate EBV correlations between different trait combinations indicate the potential of selection for one trait to simultaneously improve the other physiological attributes. In conclusion, bulls of AI centers and lactating cows suffer from HS during more extreme weather conditions also in the temperate climate of Northern Germany. Monitoring physiological traits during warm and humid conditions could provide precious information for detection of appropriate times for implementation of cooling systems and changes in feeding and management strategies. Subsequently, the inclusion of these physiological traits with THI specific breeding values into overall breeding goals could contribute to improving cattle adaptability by selecting the optimal animal for extreme hot and humid conditions. Furthermore, the recording of meteorological data in close distance to the cow and visualizing the surface body temperature by infrared thermography techniques might be helpful for recognizing heat tolerance and adaptability in cattle.

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Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. We propose a performance criterion for a local descriptor based on the tradeoff between selectivity and invariance. In this paper, we evaluate several local descriptors with respect to selectivity and invariance. The descriptors that we evaluated are Gaussian derivatives up to the third order, gray image patches, and Laplacian-based descriptors with either three scales or one scale filters. We compare selectivity and invariance to several affine changes such as rotation, scale, brightness, and viewpoint. Comparisons have been made keeping the dimensionality of the descriptors roughly constant. The overall results indicate a good performance by the descriptor based on a set of oriented Gaussian filters. It is interesting that oriented receptive fields similar to the Gaussian derivatives as well as receptive fields similar to the Laplacian are found in primate visual cortex.

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Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. Such a descriptor--based on a set of oriented Gaussian derivative filters-- is used in our recognition system. We report here an evaluation of several techniques for orientation estimation to achieve rotation invariance of the descriptor. We also describe feature selection based on a single training image. Virtual images are generated by rotating and rescaling the image and robust features are selected. The results confirm robust performance in cluttered scenes, in the presence of partial occlusions, and when the object is embedded in different backgrounds.

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The UK Professional Standards Framework (UK PSF) for teaching and supporting learning, launched in February 2006, is a flexible framework which uses a descriptor-based approach to professional standards. There are three standard descriptors each of which is applicable to a number of staff roles and to different career stages of those engaged in teaching and supporting learning. The standard descriptors are underpinned by areas of professional activity, core knowledge and professional values. The framework provides a reference point for institutions and individuals as well as supporting ongoing development within any one standard descriptor.

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A medida que pasa el tiempo; la ciencia, el desarrollo tecnológico y la constante búsqueda de encontrar nuevas verdades, más fehacientes y que logren responder más asertivamente los diferentes cuestionamientos de la humanidad, han logrado redefinir las teorías y los axiomas que, en su momento, se tomaron como el dogma a seguir en diferentes disciplinas y cuestionamientos de la sociedad y la industria. La concepción tradicional que se tiene de la mente y el comportamiento del consumidor tenía vacios importantes en términos de aplicabilidad y generalización de sus teorías, pues pensar que la humanidad desarrolla sus decisiones de compra bajo análisis netamente racionales y apegados a estructuras temporales para manejar su dinero es un supuesto que no se emplea de manera general y concienzuda por el común. Antes que agentes 100% racionales, con un completo flujo de información y en un mercado perfecto bajo todos los preceptos económicos, somos personas de sentimientos y sentidos. Reaccionamos ante situaciones, estados de ánimo y estímulos, donde es nuestro cerebro quien recibe todo el contexto cognitivo que nos brinda el entorno y entonces actúa (y compra) de diferentes maneras. Es allí donde el Neuromarketing nace como un claro ejemplo de esa búsqueda por una nueva verdad. Una donde entender al consumidor no deje de lado su faceta más real; sus reacciones, pues son estas las que realmente definen qué le gusta o no y qué despierta en él un impulso lo suficientemente importante como para incidir en su decisión de compra. Es por ello que el Neuromarketing se ha adentrado a estudiar lo más profundo y verídico del consumidor, su cerebro. Alejándose de las técnicas tradicionales de investigación de mercados, donde el consumidor puede desvirtuar la información que percibe de un producto o una campaña publicitaría por diferentes razones sociales y psicológicas. El Neuromarketing se ha adentrado al estudio del consumidor y su cerebro mediante técnicas biométricas, en las cuales expone al consumidor al marketing y analiza sus reacciones cerebrales en términos de interés, adrenalina, memoria activa y sentimientos, apoyado por técnicas como el ¨eye tracking¨, donde las interacciones visuales del consumidor permiten identificar los puntos calientes y de interés en determinada pieza publicitaria. Pero el estudio, entendido por algunos como ¨invasivo¨ frente a las libertades en términos de privacidad y libertad de elección del consumidor deben ser responsablemente dirigidos y puestos bajo un contexto científico, donde el único fin sea el de generar nuevas hipótesis y teorías que permitan tener un mejor conocimiento del comportamiento del consumidor sin traspasar los límites del control del mismo. El Neuromarketing debate su existencia misma entre la creación de nuevas metodologías de acercamiento al pensamiento del consumidor, la efectividad de sus conocimiento dados a la industria y el yugo social que acarrea esta ciencia debido a la potencial coerción a los consumidores debido a sus hallazgos.

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Objetivo: determinar parámetros biométricos para evaluación y diagnóstico de pacientes con SAHOS por medio de Cefalometría Tridimensional y reconstrucción Multiplanar escanográfica. Materiales y Métodos: se realizó estudio observacional tipo cross-sectional, con 25 pacientes diagnosticados con SAHOS, a los cuales se les hizo TAC simple de cara con reconstrucción multiplanar y tridimensional, evaluando volumen de vía aérea, longitud, promedio del área en corte transversal, área retropalatal, área reglosal, espacio retrogloso lateral y anteroposterior. Resultados: se incluyeron 25 pacientes y realizaron medidas de volumen, longitud, promedio del área en corte transversal, área retropalatal, área retroglosal y espacios regloso lateral y anteroposterior, realizando análisis estadístico mediante el programa SPSS 17.0 reportando medidas de tendencia central como promedio, media, moda, rango, desviación estándar, y concordancia inter e intra observador. Conclusión: la Cefalometría tridimensional con reconstrucción multiplanar ha mostrado ser un excelente método de evaluación de vía aérea en pacientes con SAHOS, obteniendo propias clasificaciones dentro del estudio de estos pacientes. Sin embargo, ante la escasa literatura y difícil obtención de parámetros de referencia es necesario promover el estudio y la investigación de este método diagnostico en pacientes con SAHOS.

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Introducción: El tratamiento con antagonistas del factor de necrosis tumoral alfa (anti TNF) ha impactado el pronóstico y la calidad de vida de los pacientes con artritis reumatoide (AR) positivamente, sin embargo, se interroga un incremento en el riesgo de desarrollar melanoma. Objetivo: Conocer la asociación entre el uso de anti TNF y el desarrollo de melanoma maligno en pacientes con AR. Metodología: Se realizó una búsqueda sistemática en MEDLINE, EMBASE, COCHRANE LIBRARY y LILACS para ensayos clínicos, estudios observacionales, revisiones y meta-análisis en pacientes adultos con diagnóstico de AR y manejo con anti TNF (Certolizumab pegol, Adalimumab, Etanercept, Infliximab y Golimumab). Resultados: 37 estudios clínicos cumplieron los criterios de inclusión para el meta-análisis, con una población de 16567 pacientes. El análisis de heterogeneidad no fue significativo (p=1), no se encontró diferencia en el riesgo entre los grupos comparados DR -0.00 (IC 95% -0.001; -0.001). Un análisis adicional de los estudios en los que se reportó al menos 1 caso de melanoma (4222 pacientes) tampoco mostró diferencia en el riesgo DR -0.00 (IC 95% -0.004 ; -0.003). Conclusión: En la evidencia disponible a la fecha no encontramos asociación significativa entre el tratamiento con anti TNF en pacientes con diagnóstico de AR y el desarrollo de melanoma cutáneo.

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El trabajo no ha sido publicado

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Este proyecto se ha desarrollado en el Departamento de Matemática Aplicada y Computación con sede en la Facultad de Ciencias de la Universidad de Valladolid. Están implicados en él tres profesores del citado departamento. Los objetivos del proyecto son el diseño y elaboración de prácticas relativas al descriptor troncal 'Ecuaciones diferenciales ordinarias' de la Licenciatura de Matemáticas que sean interactivas y elaboradas con medios informáticos susceptibles de ser trasladados a la red. El proceso de elaboración ha sido en las propias prácticas de asignaturas de la Licenciatura, concretamente en la asignatura modelos matemáticos I. El trabajo ha sido utilizado de forma real en las prácticas informáticas puede afirmarse que: 1. Favorecen el aprendizaje de los alumnos 2. Disminuyen el fracaso escolar 3. potencian la eficacia de las prácticas. Los materiales elaborados son: guía de uso de alumnos (27 páginas), 3 prácticas interactivas en MATLAB, copia anexa en CD. Para ello se ha usado un ordenador personal Pentium III, 933MHz, 128Mb RAM y el software MATLAB 5.1. No publicado.

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